Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. Decisions in production training depend on knowing how the model is really behaving. Our team's mission is to have the best observability into production post-training runs at Anthropic: to be the clearest, most trusted view of model quality during training. We shape what gets measured, keep the signal trustworthy and timely, and get to the bottom of surprising results to inform post-training and release decisions.
In this role you will lead the science of how we evaluate production training runs. You'll work out which measurements tell us something real about the model, notice when they stop doing so, and find what we should be measuring but aren't. You'll partner with research teams across every RL domain, bringing their priorities into what we measure and setting the standard for what makes an eval trustworthy across post-training. You'll also be hands-on with the eval fleet day to day, because the best questions about measurement come from watching real results come in during a live run.
Responsibilities
Steer the eval strategy for production Claude models: study and optimize the eval mix so it gives the most accurate and complete assessment of model quality
Run and monitor the eval fleet live to understand how each Claude model is developing as it trains
Advise teams across post-training on eval methodology, and help eval authors bring new evals up to the bar for production
Investigate regressions in production runs and inform training interventions when appropriate
Build the dashboards, alerts, and reports that researchers and leadership use to track model quality
You may be a good fit if you
Have designed, run, and analyzed evaluations for ML models at scale
Care deeply about measurement quality, thinking twice before trusting a number
Can turn ambiguous results into clear recommendations, and are comfortable influencing direction across teams
Have strong Python skills and are comfortable working with production systems
Maintain clarity and rigor when debugging complex, time-sensitive issues
Thrive in controlled chaos and are energized, rather than overwhelmed, when juggling multiple urgent priorities during a live training run
Care about the societal impacts of your work and about shipping frontier models responsibly
Strong candidates may also have
Hands-on experience post-training large language models
Research experience in ML evaluation or benchmarking
Background in statistics and experimental design
Experience developing robust evaluation metrics for ML systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Kuala Lumpur, Malaysia
Company Description
Our client is a global organization operating within the financial services and trading industry, providing individuals with access to a wide range of financial markets, including equities, commodities, and foreign exchange.
With over two decades of experience, the company has built a strong international presence, serving a diverse customer base across multiple regions. It operates through a portfolio of established brands and continues to expand its global footprint.
The organization focuses on delivering user-friendly platforms, efficient services, and reliable support to help clients navigate financial markets. With offices across key international hubs, it offers a dynamic and multicultural working environment with opportunities for professional growth.
Job Description
Reporting to the Team Lead / Senior Customer Service, our client is seeking a proactive and customer-focused
Mandarin-speaking Customer Service Representative
to join the team.
The successful candidate will be responsible for delivering high-quality support to Mandarin-speaking clients, resolving inquiries efficiently, and contributing to a positive overall customer experience. You will work within a diverse, collaborative team environment and play a key role in supporting client satisfaction and retention.
Key Responsibilities
Respond to customer inquiries via phone, email, and live chat in Mandarin and English.
Provide accurate information regarding products, services, and policies.
Resolve customer issues in a timely and professional manner.
Maintain detailed and accurate records of customer interactions within CRM systems.
Collaborate with internal teams to ensure seamless issue resolution and customer satisfaction.
Identify and escalate priority or complex issues when necessary.
Handle back-office related queries and support requests.
Assist clients with basic technical troubleshooting where required.
Manage and resolve customer complaints effectively and professionally.
Meet defined performance targets, including response times, resolution rates, and customer satisfaction metrics.
Identify opportunities to enhance client experience and retention through value-added support and service.
Qualifications
Fluency in Mandarin and English (spoken and written) is essential.
Previous experience in customer service or a similar role is preferred; experience within financial services or trading environments is an advantage.
Strong communication and interpersonal skills.
Ability to work effectively under pressure in a fast-paced environment.
Strong multitasking and organizational abilities.
Familiarity with CRM systems and customer support tools is beneficial.
Problem-solving mindset with strong attention to detail.
Additional language skills are a plus.
Additional Information
Benefits & Perks
Our client offers a competitive benefits package, including:
Hybrid working policy
Discretionary performance-related bonus
Personalized flex benefits
Wellbeing initiatives and access to self-development tools
Medical insurance
Comprehensive leave package of 40 days inclusive of public holidays
Our client is an equal opportunities employer and encourages applications from suitably qualified candidates regardless of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.
Location: South Africa; Philippines; Pakistan; Poland; Bosnia and Herzegovina; North Macedonia
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We’re looking for a
GTM Engineer / Revenue Operations Specialist
to design, refine, and scale the company’s go-to-market infrastructure. This role operates at the intersection of marketing, sales, product, and data, building systems that have a direct and measurable impact on revenue performance.
This is a highly cross-functional position where you’ll take ownership of the entire funnel—from acquisition to revenue—ensuring clean data, efficient automation, and actionable insights at every stage.
Key Responsibilities
Design and manage end-to-end GTM systems across CRM, marketing, product, and data infrastructure
Architect clean lead flows and scalable data pipelines with accurate attribution
Map, monitor, and optimize the full revenue funnel from acquisition to conversion
Write SQL queries to analyze performance, segment data, and diagnose funnel issues
Build actionable dashboards that inform revenue and growth decisions
Develop and maintain automation for lead routing, scoring, enrichment, and lifecycle management
Integrate tools and systems using APIs, webhooks, and automation platforms (e.g., Zapier, Make)
Identify and resolve funnel drop-offs, improving conversion rates across stages
Align marketing, sales, and product data into a unified reporting framework
Design and run experiments (e.g., landing pages, onboarding flows) and iterate based on results
Maintain CRM data hygiene, governance standards, and tracking consistency
Collaborate cross-functionally and translate business needs into scalable technical solutions
Optimize systems and processes to improve key metrics such as CAC, LTV, and pipeline velocity
Requirements
2+ years of recent hands-on experience in GTM Engineering, RevOps, or Growth Systems
Proven ability to design, manage, and optimize end-to-end revenue funnels
Strong SQL skills for segmentation, cohort analysis, and funnel diagnostics
Experience with CRM platforms (Salesforce or HubSpot) and marketing automation tools
Familiarity with modern data stack tools (e.g., Segment, Snowflake, Google Analytics)
Hands-on experience with automation tools (Zapier, Make) and API integrations
Solid understanding of attribution models and experimentation (A/B testing, basic statistics)
Basic scripting ability (Python or JavaScript) for automation and data workflows
Strong systems-thinking mindset with a focus on scalability and efficiency
Excellent communication skills with the ability to translate technical concepts to business stakeholders
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: South Africa; Philippines; Colombia; Mexico; Argentina; Brazil
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a Senior Account Manager with 5+ years of experience in client relationship management, account growth, and retention. This is a strategic role where you will manage key accounts, drive revenue expansion, and act as a trusted advisor to clients.
You will work closely with cross-functional teams to ensure client success, identify upsell and cross-sell opportunities, and maintain high levels of customer satisfaction.
Key Responsibilities
Manage and grow a portfolio of key client accounts, ensuring long-term retention and satisfaction
Serve as the primary point of contact for clients, building strong, trust-based relationships
Identify and drive upsell and cross-sell opportunities to increase account value
Conduct regular business reviews and performance reporting with clients
Collaborate with internal teams (sales, marketing, product, customer success) to deliver on client goals
Proactively identify risks and implement strategies to improve client retention
Track account performance, revenue growth, and engagement metrics
Ensure all client interactions and account data are accurately recorded in CRM systems
Requirements
5+ years of experience in Account Management, Customer Success, or Client Services
Proven track record of managing and growing mid-market or enterprise accounts
Strong commercial acumen with experience in upselling and revenue expansion
Excellent communication, relationship-building, and stakeholder management skills
Experience working with CRM platforms (e.g., Salesforce, HubSpot)
Strong problem-solving skills with a proactive and client-focused approach
Ability to manage multiple accounts in a fast-paced environment
Experience in SaaS, marketing, or B2B services is highly preferred
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Yerevan, Armenia
We are looking for an experienced
Delivery Manager
to oversee the delivery of multiple products and strategic initiatives across a complex software environment. This role is responsible for portfolio alignment, delivery governance, strategic planning, stakeholder management, and ensuring successful execution against business priorities, OKRs, and long-term value objectives.
Responsibilities
Define and manage portfolio governance, visibility, and delivery frameworks, ensuring initiatives align with company strategy, OKRs, customer value streams, and business objectives.
Translate executive priorities into delivery roadmaps, driving strategic planning, prioritization, investment trade-offs, and value delivery across multiple products and teams.
Oversee the end-to-end delivery of multiple products and strategic initiatives, ensuring consistent execution, cross-product alignment, predictable outcomes, and long-term business value realization.
Identify and manage cross-product dependencies, delivery risks, resource constraints, capacity planning needs, and bottlenecks, escalating critical issues to leadership when required.
Act as the primary bridge between Engineering, Product, QA, Operations, Compliance, and executive stakeholders, providing clear communication on progress, risks, delivery performance, and strategic priorities.
Define, track, and report portfolio-level KPIs while driving continuous improvement of governance models, reporting standards, Agile practices, operating models, and organizational maturity.
Requirements
5+ years of experience in Delivery Management, Program Management, Portfolio Delivery, or Engineering Management within a software development environment.
Proven experience overseeing multiple products, programs, or domains, with responsibility for portfolio-level planning, governance, prioritization, and delivery alignment.
Demonstrated success managing large-scale delivery organizations, typically supporting portfolios of 50–100+ FTEs, while balancing resources, capacity, and business priorities.
Strong knowledge of SDLC, Agile methodologies, delivery governance, dependency management, resource planning, risk management, and performance reporting.
Excellent stakeholder management and communication skills, with experience partnering with senior leadership and influencing cross-functional teams across technical and non-technical functions.
Solid technical understanding of distributed systems, APIs, integrations, and cloud-based architectures, combined with strong analytical, problem-solving, and decision-making skills; experience in iGaming or other regulated industries is highly desirable.
Location: San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About The Opportunity
We are looking for a sharp, hands-on Growth Product Manager to join OKX's Growth team and own the programs that drive user acquisition, activation, and retention at scale. You will design, ship, and iterate on growth campaigns, referral mechanics, and incentive systems that directly move our core business metrics.
OKX is one of the world's leading crypto exchanges, serving over 50 million users globally. As we scale our US and European presence in a rapidly evolving regulatory landscape, our Growth team sits at the intersection of product, data, and go-to-market. If you want to do the most impactful growth work in crypto right now, with real budget, real data, and real users, this is the seat.
What You’ll Be Doing
Define the growth product vision and own the roadmap and set the strategic direction for where we invest, what we build, and how we win across key markets.
Design, ship, and iterate on growth campaigns and features with clear hypotheses, rapid experimentation cycles, and measurable outcomes.
Read data like a native: independently conduct funnel analysis, cohort segmentation, and channel ROI modeling to identify the highest-leverage growth opportunities and make fast resource allocation decisions.
Build fraud-resistant growth systems by design — model abuse vectors proactively, architect product-level guardrails against bot attacks, multi-accounting, and reward farming, and balance acquisition scale with cost quality as a P&L owner.
Drive cross-functional execution cross-functionally in a fast-moving, globally distributed org.
Champion AI-native product development, leverage LLMs, agentic workflows, and automation tools to accelerate analysis, prototyping, and decision-making across the team.
Collaborate with regional and global stakeholders to localize growth strategies and adapt playbooks across different regulatory and market environments.
What We Look For In You
5–10+ years of product management experience, with at least 3 years directly owning growth, user acquisition, or activation — ideally at a crypto exchange, fintech platform, or hyper-growth consumer company.
Proven track record of designing and shipping growth campaigns or referral/incentive programs that drove significant user or revenue growth, with quantifiable results.
Sharp product instinct for user experience, you can spot friction in a signup flow, a poorly positioned CTA, or a broken incentive loop from the user's perspective, and you fix it fast.
Strong understanding of fraud and abuse patterns in growth programs
Thrives in ambiguity and speed: you're comfortable operating with incomplete information, making fast calls, and course-correcting.
Genuine enthusiasm for AI-native workflows to multiply your output and are excited about integrating them into product development processes.
Excellent communication skills, can distill complex data and tradeoffs into clear recommendations for leadership, and can align diverse stakeholders without heavy process overhead.
Experience with multi-market or multi-region growth is a strong plus.
Crypto-native or fintech background is strongly preferred.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement
The salary range for this position is
$214,666 to $375,666
. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site.
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: New York
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in New York City, New York. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU’LL DO
- Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions
- Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management
- Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues
- Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint
- Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments
- Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership
REPRESENTATIVE PROJECTS
- Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration
- Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience
- Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers
- Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking
- Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability
WHAT YOU HAVE
- 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)
- Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io)
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence
NICE TO HAVE
- Experience building infrastructure for AI/ML workloads or high-throughput inference systems
- Background with distributed rate limiting, load balancing, or quota management systems
- Experience operating multi-tenant platforms with strict security and compliance requirements
- Track record of leading complex cross-functional projects and delivering measurable impact
COMPENSATION RANGE
$201,000 - $264,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-AN2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU’LL DO
- Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions
- Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management
- Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues
- Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint
- Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments
- Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership
REPRESENTATIVE PROJECTS
- Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration
- Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience
- Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers
- Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking
- Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability
WHAT YOU HAVE
- 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)
- Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io)
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence
NICE TO HAVE
- Experience building infrastructure for AI/ML workloads or high-throughput inference systems
- Background with distributed rate limiting, load balancing, or quota management systems
- Experience operating multi-tenant platforms with strict security and compliance requirements
- Track record of leading complex cross-functional projects and delivering measurable impact
COMPENSATION RANGE
$236,000 - $290,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE. https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74
#LI-AN2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are looking for an engineer who can walk into messy, cross-functional workflows and turn them into clean, automated systems that scale. This role focuses on identifying high-friction operational processes across the company and replacing them with durable, API-driven automation. You will work across IT, Security, Engineering, and Business teams to reduce manual work, improve reliability, and build systems that scale with the company.
This is not a ticket-driven IT role. You will operate with a high degree of ownership, driving initiatives end-to-end from problem discovery through implementation and rollout. You will be part of the Business Technology - Corporate Engineering team and report to the Director of Business Technology.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Identify and automate high-impact operational workflows across onboarding, offboarding, access management, and service delivery
Replace manual, fragmented processes with scalable, API-driven systems
Build and maintain integrations across HRIS, identity providers, SaaS platforms, and cloud environments
Develop internal tools and automation using platforms like Retool, Okta Workflows, and custom scripts or services
Apply infrastructure-as-code to manage and version system configurations
Incorporate AI into workflows to improve efficiency in areas like ticket routing, knowledge retrieval, and decision support
Design and automate access and security workflows that enforce least-privilege and auditability
Own and drive cross-functional initiatives end-to-end, from problem definition through implementation and rollout
The ideal candidate has:
4–7+ years of experience in IT, platform engineering, automation, or similar roles
Strong scripting or programming ability in Python, Go, Node.js, PowerShell, or similar
Experience building API-driven automation across multiple systems
Ability to design and implement workflows that span multiple tools and teams
Experience with infrastructure-as-code such as Terraform or similar
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What will make you stand out:
Hands-on experience with identity and access systems (Okta, SSO, SCIM, RBAC), including implementation and ongoing management
Proven ability to build and scale internal tools using platforms like Retool or other low-/no-code solutions
Familiarity with security automation and orchestration (e.g., Tines), with an eye toward reducing manual effort and risk
Practical experience leveraging AI/LLMs to streamline and enhance operational workflows
Strong understanding of compliance and security standards (HIPAA, SOC 2, HITRUST) and how they shape systems and processes
Focused on driving meaningful outcomes
Able to identify root-cause, system-level issues and design durable solutions rather than quick fixes
Comfortable navigating cross-functional environments with competing priorities and constraints
Operates with urgency while building scalable, maintainable solutions
Defaults to automation and efficiency wherever possible
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Okta, Okta Workflows, Retool, FreshService (ITSM), Google Workspace, Slack, Atlassian (Confluence and Jira), MDM platforms (Jamf Pro, Kandji/Iru, Intune), Airtable, AWS and GCP, Terraform, Rippling (HRIS), SOAR (Tines), and AI-enabled operational tooling (Claude, Gemini, OpenAI)
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation Transparency:
The target salary range for this position is $189,000 - $220,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: USA
Company Intro
At
Toloka AI
we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds,
representing over
100 countries and speaking 40+ languages
. We are a well-funded startup with an enviable portfolio of clients including
Anthropic
,
Amazon
,
Microsoft
,
Poolside
,
Recraft
, and
Shopify
.
Recently, we secured strategic investment led by
Bezos Expeditions
and
Nebius Group
with participation from
Mikhail Parakhin
,
CTO of Shopify
and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world:
USA
,
UK
,
the Netherlands
,
Serbia
, and more.
About the Role
Technical consultants
play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs and deliver an exceptional experience working with us.
As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions.
We are looking for a person with more than
3 years
of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team.
Responsibilities
1. Client Ownership & Communication
Act as the primary technical point of contact for customers across technical and executive stakeholders.
Lead discovery conversations to deeply understand client goals, problems and quality criteria.
Translate client needs into clear, actionable solution designs and delivery plans.
Advise customers on best practices in data collection, data quality, evaluation, and model training workflows.
Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently.
Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions.
2. Solution Design & Delivery
Design end-to-end data solutions using Toloka’s platform, selecting appropriate components, workflows, and quality controls.
Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation.
Run experiments and pilots to validate quality, throughput, and cost assumptions.
Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed.
Ensure solutions meet agreed quality, performance, and scalability requirements.
3. End-to-End Ownership & Project Management
Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency.
Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations.
Prioritize work based on customer impact and business value.
Analyze data to identify failure modes, inefficiencies, and opportunities for improvement.
Continuously optimize solutions through iteration, automation, and adoption of new technologies.
Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams.
Drive solutions toward stable operation with minimal ongoing maintenance.
Requirements
Core Experience
Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager.
Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management.
Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration).
Technical Skills
Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask).
Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus.
Experience designing multi-stage pipelines and complex systems.
Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc..
Bachelor’s or Master’s degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations.
Ability to reason about trade-offs between quality, speed, cost, and scalability.
Communication & Ownership
Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences.
Confidence working with data engineers, ML engineers, and researchers from leading tech companies.
Strong ownership mindset: comfortable being accountable for outcomes, not just tasks.
Ability to manage multiple projects in fast-paced, ambiguous environments.
Nice to have
Experience with crowdsourcing, expert workflows, or large-scale data labeling.
Experience working on ML training, evaluation, or agentic systems.
Familiarity with quality frameworks, audits, or data validation pipelines.
What we can offer
Full-time independent contractor engagement (B2B)
through the
Ontop
contractor platform
, working via your own company or business entity;
Flexible, fully remote schedule (
40 hours per week
);
Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts;
Projects with customers that are AI industry leaders and well-known household names;
Friendly community.
[Important Notice] Scam Alert Regarding Fake Job Postings
It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:
Official Communication:
Our recruiting team will
only
contact you from an official "
toloka.ai
" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts.
Our Process:
We will
never
ask for your bank account details, credit card number, or any fees as part of the application or interview process.
Official Listings:
All legitimate job openings are posted on our official careers page:
https://toloka.ai/careers#job-list
What to do:
If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at
security@toloka.ai
and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!
To learn how we collect, use, disclose, and store personal data, check out our
Privacy Notice
.
Location: Vilnius
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.
Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.
With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.
The job
As an Android Engineer at Flo, you'll help shape the mobile experience for millions of people, and do genuinely meaningful work in women's health. Our app is trusted by 1 in 4 women aged 18–44 in the US and used across 100+ countries, with machine learning and AI powering accurate cycle predictions and personalised, medically credible health insights.
We build large-scale mobile applications with rich, intuitive interfaces - optimised for speed, accessibility and privacy. You'll join a cross-functional team working across the full mobile lifecycle, from feature ideation through to release and iteration, with real ownership over value delivery end to end.
We're not a feature factory. Our engineers are pragmatic problem-solvers who thrive in fast-moving environments and care about what they ship. You'll have genuine scope to experiment, lead ambitious product initiatives and implement solutions that matter - not just clear a backlog. Flo is a constantly evolving product, and we give our engineers the trust and autonomy to evolve it.
Your Experience
Must have:
7+ years of hands-on Android development experience, with a track record of shipping and maintaining production applications at scale
Experience building large, complex mobile applications with polished, performant UIs - ideally for global consumer audiences
Strong proficiency in Java, with solid object-oriented design principles and a keen eye for clean, maintainable code
Deep knowledge of the Android ecosystem - including platform fragmentation, UI design patterns, and delivering consistent experiences across a wide range of screen sizes and devices
Solid familiarity with Google technologies, Play Store submission processes, and Google's development guidelines
A good grasp of the full mobile product lifecycle, with practical experience working within Agile teams
Nice to have:
Knowledge of Kotlin programming language, Clean Architecture and reactive programming
An eye for UX and interaction design - you care about how things feel, not just how they work
Hands-on experience with mobile CI/CD tooling, including build, test and release automation
Experience integrating with analytics and BI systems, including A/B testing frameworks
Experience with alternative Android markets
Experience optimising data usage over mobile networks and building offline-first applications
What you'll be doing
You'll be responsible for:
Developing features using modern frameworks, libraries and in-house components - contributing to a shared codebase built to last
Delivering polished, intuitive user experiences that meet a high bar for design and usability
Maintaining and improving a continuous delivery pipeline, ensuring fast, reliable and safe releases to production
#LI-Hybrid #LI-AJ1
Salary Range - gross per month (ranges may vary based on skills and experience)
€6.500
—
€8.500 EUR
How we work
We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.
What you'll get
We support impact with meaningful reward. Here’s what that looks like:
Competitive salary and annual reviews
Opportunity to participate in Flo’s performance incentive scheme
Paid holiday, sick leave, and female health leave
Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
Accelerated professional growth through world-changing work and learning support
In-person collaboration and work in a hybrid model, with 3 days per week spent in the office
5-week fully paid sabbatical at 5-year Floversary
Flo Premium for friends & family, plus more health, pension and wellbeing perks
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our
privacy notice for job applicants
.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
The role doesn't open for fresh grad candidates and only accept candidates with full time working experience.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
What You’ll Be Doing
Manage systematic trading strategies and manual trade execution.
Follow daily market sentiment, continuous monitor risk exposure and P&L.
Conduct post trade analysis of trading strategy's performance.
Work with developers to build and drive the continual improvement of world-class risk management and trading tools.
What We Look For In You
Degree in a relevant area (Mathematics/Physics/Engineering/Computer Science/Finance) from a top university.
Required skill in flow business
Required skill in systematic trading in crypto or traditional markets
Experience in cryptocurrency products is a plus.
Ability to work in a fast-paced environment and make rational decisions under pressure.
High attention to detail and excellent communication skills
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
#LI-ONSITE
#LI-MX1
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Dallas, USA; New York, USA; Orlando, USA
As a Principal AI Solutions Architect within DataArt’s Healthcare & Life Sciences practice, you will bridge the gap between advanced AI tools and real-world business impact. You’ll operate at the intersection of hands-on prototyping, cross-functional collaboration, and stakeholder education. Your focus: drive measurable client outcomes through AI-enabled efficiencies and new digital experiences.
You will shape how AI is adopted across the healthcare and life sciences industries — from intelligent copilots and personalization engines to developer acceleration and operational optimization — by prototyping real solutions, articulating business value, and driving adoption from C-suite to delivery teams.
You will work closely with client account teams (50+ active clients) and DataArt’s AI + Data Lab to identify high-value use cases, prototype rapidly, validate with stakeholders, and showcase scalable solutions that clients can adopt.
The estimated OTE for this position is 220,000 to 260,000 USD per year.
Lead ideation and scoping of AI/ML proof of concepts (PoCs) in coordination with client account leaders
Rapidly prototype and iterate AI features (chatbots, NLP services, recommender systems, etc.)
Direct internal DataArt teams to execute PoCs with clarity, velocity, and alignment
Own the "show-and-tell" lifecycle: internal demo → stakeholder validation → external client presentation
Develop GenAI applications based on RAG variations, Agentic, hybrid models. Leverage Agentic SDLC and advocate for adoption. Develop with hyperscaler AI tools (Azure, GCP, AWS), LLM APIs, vector search, GenAI, Agentic SDKs and Agentic Runtimes (Agent Core, Agent Engine, etc.)
Define reusable AI building blocks and Healthcare-specific agent scaffolds that feed into the Connect AI ecosystem
Build working solutions integrated with cloud data platforms like Snowflake and Databricks
Embed AI into client-facing products or operations (e.g., personalization, crew ops, service automation)
Shape internal best practices for GenAI use in SDLC and Healthcare product lifecycle — from opportunity discovery to ops telemetry
Create AI demo assets: notebooks, dashboards, blog content, or walkthrough videos
Run workshops and working sessions with client teams and business leaders
Act as a translator and evangelist, helping stakeholders understand responsible AI adoption and potential ROI
Hands-on experience with AI services from at least one major cloud provider (Azure, AWS, GCP)
Demonstrated ability to operate at Director level or above in client engagements, influencing both technical and business stakeholders
Experience with designing and implementing RAG based applications
Strong background with Snowflake and/or Databricks for data engineering and AI pipelines
Proven success leading client-facing PoCs or MVPs from inception to delivery
Prior exposure to Healthcare or Life Sciences sector
Strong understanding of Healthcare and/or Life Sciences workflows, regulatory frameworks (HIPAA, CMS-0057-F, GDPR, ISO 13485, ISO 42001, etc.), and industry challenges.
Ability to translate fuzzy business goals into AI-enabled outcomes, structuring initiatives from ambiguous needs into scoped, testable, and scalable components
Fluency in evaluating tradeoffs between open-source LLMs and commercial APIs, and designing cost-efficient, scalable architectures
Strong communicator comfortable with both technical teams and business stakeholders
Ability to travel to client site (US, EU)
Exposure to healthcare data standards (FHIR, HL7) and integrations (eRx, Clearinghouses, TEFCA).
Knowledge of GenAI fine-tuning, vector DBs, or orchestration frameworks (LangChain, Semantic Kernel, etc.)
Experience developing internal enablement materials or technical content
Awareness of responsible AI practices (e.g., model fairness, explainability, usage boundaries)
Location: London, UK
As a Principal AI Solutions Architect within DataArt’s Healthcare & Life Sciences practice, you will bridge the gap between advanced AI tools and real-world business impact. You’ll operate at the intersection of hands-on prototyping, cross-functional collaboration, and stakeholder education. Your focus: drive measurable client outcomes through AI-enabled efficiencies and new digital experiences.
You will shape how AI is adopted across the healthcare and life sciences industries — from intelligent copilots and personalization engines to developer acceleration and operational optimization — by prototyping real solutions, articulating business value, and driving adoption from C-suite to delivery teams.
You will work closely with client account teams (50+ active clients) and DataArt’s AI + Data Lab to identify high-value use cases, prototype rapidly, validate with stakeholders, and showcase scalable solutions that clients can adopt.
Lead ideation and scoping of AI/ML proof of concepts (PoCs) in coordination with client account leaders
Rapidly prototype and iterate AI features (chatbots, NLP services, recommender systems, etc.)
Direct internal DataArt teams to execute PoCs with clarity, velocity, and alignment
Own the "show-and-tell" lifecycle: internal demo → stakeholder validation → external client presentation
Develop GenAI applications based on RAG variations, Agentic, hybrid models. Leverage Agentic SDLC and advocate for adoption. Develop with hyperscaler AI tools (Azure, GCP, AWS), LLM APIs, vector search, GenAI, Agentic SDKs and Agentic Runtimes (Agent Core, Agent Engine, etc.)
Define reusable AI building blocks and Healthcare-specific agent scaffolds that feed into the Connect AI ecosystem
Build working solutions integrated with cloud data platforms like Snowflake and Databricks
Embed AI into client-facing products or operations (e.g., personalization, crew ops, service automation)
Shape internal best practices for GenAI use in SDLC and Healthcare product lifecycle — from opportunity discovery to ops telemetry
Create AI demo assets: notebooks, dashboards, blog content, or walkthrough videos
Run workshops and working sessions with client teams and business leaders
Act as a translator and evangelist, helping stakeholders understand responsible AI adoption and potential ROI
Hands-on experience with AI services from at least one major cloud provider (Azure, AWS, GCP)
Demonstrated ability to operate at Director level or above in client engagements, influencing both technical and business stakeholders
Experience with designing and implementing RAG based applications
Strong background with Snowflake and/or Databricks for data engineering and AI pipelines
Proven success leading client-facing PoCs or MVPs from inception to delivery
Prior exposure to Healthcare or Life Sciences sector
Strong understanding of Healthcare and/or Life Sciences workflows, regulatory frameworks (HIPAA, CMS-0057-F, GDPR, ISO 13485, ISO 42001, etc.), and industry challenges.
Ability to translate fuzzy business goals into AI-enabled outcomes, structuring initiatives from ambiguous needs into scoped, testable, and scalable components
Fluency in evaluating tradeoffs between open-source LLMs and commercial APIs, and designing cost-efficient, scalable architectures
Strong communicator comfortable with both technical teams and business stakeholders
Ability to travel to client site (US, EU)
Exposure to healthcare data standards (FHIR, HL7) and integrations (eRx, Clearinghouses, TEFCA).
Knowledge of GenAI fine-tuning, vector DBs, or orchestration frameworks (LangChain, Semantic Kernel, etc.)
Experience developing internal enablement materials or technical content
Awareness of responsible AI practices
Location: Dubai, United Arab Emirates; New York, United States; California City, United States
AHS is seeking a visionary and highly skilled
Head of Artificial Intelligence & Data Intelligence
to lead our AI and data initiatives. In this executive role, you will drive innovation through advanced data analytics, machine learning, and AI technologies to support business strategies, optimize operations, and enhance decision-making processes across the organization. You will collaborate with cross-functional teams to identify opportunities, develop AI-driven solutions, and maintain data governance standards.
Key Responsibilities
Develop and execute the AI and data intelligence strategy in alignment with company goals.
Lead teams of data scientists, AI engineers, and analysts to design, develop, and deploy AI models and data solutions.
Oversee the collection, processing, and analysis of large datasets to extract actionable insights.
Promote the adoption of AI and analytics tools across departments to improve efficiency and innovation.
Ensure data quality, compliance with data privacy regulations, and ethical AI practices.
Collaborate with IT and business leaders to integrate AI solutions into existing systems and workflows.
Stay abreast of emerging AI and data technologies and industry best practices.
Present insights and strategic recommendations to senior leadership and stakeholders.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field; PhD preferred.
8+ years of experience in AI, data science, or data engineering roles, with at least 3 years in a leadership capacity.
Proven expertise in machine learning, deep learning, natural language processing, and data analytics.
Strong programming skills in Python, R, or similar languages.
Experience with AI frameworks and big data technologies (e.g., TensorFlow, PyTorch, Hadoop, Spark).
Demonstrated ability to lead and manage cross-functional teams.
Excellent communication and presentation skills, capable of translating complex data concepts to business audiences.
Solid understanding of data governance, privacy laws, and ethical considerations in AI.
Strategic mindset with a results-oriented approach.
Experience in real estate or related industries is a plus.
Benefits
Why Join AHS?
Innovative Environment
: Be part of a forward-thinking company that embraces innovation and creativity in the luxury real estate market.
Career Advancement
: Enjoy opportunities for professional growth and development, with a clear path for career progression.
Collaborative Culture
: Join a team-oriented environment where collaboration and mutual support are highly
Competitive Compensation
: Receive a competitive salary and benefits package that rewards your hard work and dedication.
Work-Life Balance
: Enjoy a supportive work environment that values work-life balance and employee well-being.
Please Note:
Due to the high volume of applications we receive, only shortlisted candidates will be contacted. We appreciate your understanding.
Location: Philippines; South Africa; Mexico; Colombia; Argentina; Honduras
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
About the Company
Our client is a fast-growing automation-focused company helping small and medium-sized businesses streamline operations using cutting-edge AI solutions. They specialize in deploying practical, results-driven automation systems powered by LLMs and workflow tools, while also building scalable internal infrastructure for long-term efficiency.
Job Summary
We’re hiring an AI Engineer to design, build, and deploy AI-powered automation workflows for real-world business use cases.
This is a hands-on, execution-focused role where you’ll rapidly implement solutions using tools like n8n, Go High Level, and LLM APIs—while also contributing to the development of more scalable, in-house AI systems over time.
If you’re looking for a remote AI engineering job that blends prompt engineering, automation, and system design, this role offers strong growth potential and meaningful impact.
Key Responsibilities
Build and deploy AI automation workflows using tools like n8n, Zapier, and Go High Level
Integrate and optimize LLM APIs (OpenAI, Claude, etc.) for business use cases
Quickly deliver functional automation systems for client requirements
Design and improve internal AI infrastructure to reduce reliance on third-party tools
Debug, test, and refine workflows for performance and reliability
Collaborate with an operations/project manager to gather requirements and iterate on solutions
Continuously explore new AI tools and frameworks to improve system capabilities
Requirements
Proven experience working with LLMs and AI APIs (e.g., OpenAI, Claude)
Strong understanding of automation tools such as n8n, Zapier, Go High Level, or similar platforms
Ability to balance rapid implementation with long-term system scalability
Solid problem-solving skills with experience debugging workflows and integrations
Experience connecting APIs, webhooks, and third-party tools
Clear and professional English communication skills
Bonus: Experience with Python, backend systems, or building custom AI pipelines (e.g., RAG systems)
Benefits
💰 Competitive salary based on experience and location
🌎 Fully remote role with flexible work environment
🚀 Work on cutting-edge AI automation projects with real business impact
📈 Strong growth opportunity into senior AI / systems roles
🧠 Exposure to LLMs, prompt engineering, and scalable AI system design
🤝 Direct collaboration with a fast-moving, high-performance team
San Francisco, CA | Seattle, WA
Mumbai
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