Задачи:
— Предоставление консультационной поддержки заказчику в течение 3 месяцев после запуска решения в промышленную эксплуатацию;
— Обеспечение гарантийного обслуживания сроком 1 год, устранение критических ошибок, возникших не по вине заказчика;
— Анализ и уточнение требований заказчика, оценка объёма и реализация доработок в рамках запросов на изменения и новых функциональных задач;
— Модернизация текущих и создание новых отчётных решений BEx‑запросов, рабочих книг и механизмов рассылок;
— Создание и адаптация расчётных моделей: трансформации данных, Calculation View, композитные провайдеры, ABAP‑программы;
— Реализация функционала в полном цикле: от извлечения данных из внешних систем до формирования итогового отчёта или внешней выгрузки;
— Координация тестирования и приёмо‑сдаточных испытаний совместно с представителями заказчика;
— Формирование комплекта документации: проектные решения, функциональные спецификации, протоколы тестирования, инструкции для пользователей и материалы для передачи в поддержку;
Требования:
— Не менее 7 лет опыта работы с SAP BW, включая от 2 лет в позиции архитектора;
— Практический опыт внедрения и развития решений SAP BW в розничной торговле;
— Навыки интеграции SAP BW с SAP ERP и прочими системами‑источниками данных;
— Владение моделями данных ключевых модулей SAP ERP и стандартным бизнес‑контентом SAP BW;
— Опыт руководства командой консультантов: постановка задач, контроль сроков и качества;
— Практика взаимодействия с заказчиком, от сбора требований до презентации проектных решений;
— Экспертиза в оптимизации производительности SAP BW/4HANA и платформы HANA;
— Понимание отраслевой и экономической терминологии ритейла;
— Умение оценивать трудозатраты и формировать планы работ по проектам SAP BW;
— Развитые навыки коммуникации и организации рабочих процессов;
— Подтверждённый опыт участия в 5+ проектах SAP BW полного цикла;
— Опыт проектирования сложных моделей данных и механизмов загрузки в SAP BW/4HANA и HANA;
— Уверенное применение ABAP‑инструментария: BAdI, User Exits, Routines, AMDP, разработка экстракторов;
— Опыт защиты архитектурных и проектных решений, проведения нагрузочного тестирования и организации приёмо‑сдаточных испытаний;
Условия:
— Аутстафф проект для розничной компании;
— Проект характеризуется значительным масштабом: объём базы данных - порядка 25 ТБ, ежедневный объём загрузок составляет 70-120 млн строк, система обслуживает около 7 000 пользователей (с устойчивой тенденцией к росту), в активной эксплуатации находится порядка 400 отчётов;
— Специфика проекта обусловлена отраслевой направленностью (ритейл): реализованы узкоспециализированные функциональные блоки, используются сложные модели данных и отработаны механизмы обработки больших объёмов информации.
Задачи:
— Проводить встречи с заказчиками, выявлять их бизнес-потребности и переводить их в технологические решения
— Прорабатывать концепции и архитектуры под конкретные задачи клиентов с помощью вайбкодинга, AI-инструментов
— Создавать прототипы, PoC и демонстрационные решения на базе современных AI-инструментов
— Демонстрировать возможности AI-технологий для бизнеса: генеративный AI, LLM, AI-ассистенты, автоматизация процессов, интеллектуальные системы
— Участвовать в presale-активностях: подготовке и защите технических предложений, презентаций, RFP/RFI, пилотных проектов перед заказчиками
— Выступать техническим экспертом на встречах с клиентами и внутренними командами
— Помогать формировать roadmap внедрения AI-решений
— Передавать сформированные концепции и архитектурные решения в разработку, помогать команде разработки погружаться в контекст
— Следить за развитием рынка AI и предлагать новые подходы и технологии для клиентов
Требования:
— Опыт работы в роли Solution Architect, Presale Architect, AI Consultant, Technical Consultant или близких позициях
— Практический опыт создания прототипов, MVP или работающих систем
— Уверенное владение современными AI-инструментами и понимание их возможностей и ограничений
— Хорошее понимание принципов работы AI/ML-систем, включая LLM, машинное обучение, data pipelines и интеграцию AI в бизнес-процессы будет большим плюсом
— Опыт проектирования архитектуры решений: от идеи и прототипа до промышленной эксплуатации
— Опыт в разработке будет плюсом
— Способность быстро разбираться в новых технологиях и оценивать их применимость
— Хороший технический кругозор и интерес к развитию AI-рынка
— Умение слушать клиента, задавать правильные вопросы и находить реальные бизнес-проблемы за формальными запросами
— Навыки коммуникации: способность объяснять сложные технические концепции простым и понятным языком
Будет плюсом:
— Образование или практический опыт в области Machine Learning, Data Science, Computer Science
— Опыт разработки AI/ML-проектов
— Опыт работы с облачными платформами (AWS, Azure, GCP) и AI-сервисами
— Опыт интеграции LLM и AI-решений в корпоративные системы
— Опыт работы в продажах, presale или консалтинге
— Участие в переговорах с клиентами и сопровождение сделок от идеи до запуска
— Опыт подготовки технических предложений и презентаций для бизнеса
Условия:
— Полная занятость
— График: 5/2
— Формат работы: удалённо
zerohash is looking for a Core Architect and Integration Lead Applied AI to build secure intelligence-core architecture, agent integrations, and verifiable audit systems.
Задачи:
— Проектирование архитектуры и технические решения по продуктам дирекции, контроль их реализации командой
— Развитие ИИ-системы анализа тендеров: разбор тендерной документации с помощью LLM, оценка трудоемкости, интеграция с внутренними системами через API, масштабирование на новые подразделения
— Развитие RAG-решений: интеллектуальный поиск по корпоративному хранилищу данных, карты знаний, распределение запросов между агентами
— Архитектурное сопровождение и доработки корпоративного портала под внутренние требования (мобильное приложение, конструктор форм, сервис уведомлений и push-рассылок)
— Выбор и развертывание LLM: локальные open-source модели на собственных GPU и облачные решения
— Организация процесса разработки мобильных и веб-приложений
— Внедрение практики разработки с применением ИИ-инструментов, обучение команды
— Оценка трудоемкости и участие в пресейлах как технический эксперт
— Участие в найме: техническое интервью кандидатов
Требования:
— Опыт работы архитектором от 5 лет, опыт в коммерческой разработке от 10 лет
— Практический опыт построения RAG-систем и LLM-сервисов в продакшене: retrieval, карты знаний, structured output, агентные сценарии
— Опыт работы с open-source моделями (Llama, Mistral, Qwen и аналоги) в закрытом контуре и с облачными LLM (GPT, YandexGPT)
— Python на уровне самостоятельной разработки
— Golang или другой backend-язык как плюс
— Опыт архитектуры мобильных приложений: Flutter или React Native, понимание нативной разработки iOS/Android
— PostgreSQL, Redis
— очереди RabbitMQ или Kafka
— Linux (RHEL/CentOS)
— Опыт организации работ команды для минимизации сроков разработки MVP
— Опыт доведения продукта от идеи и прототипа до промышленной эксплуатации
— Регулярное применение ИИ-инструментов в собственной разработке
— Высшее техническое образование
Условия:
— Полная занятость
— График 5/2
— Формат работы: удалённо или гибрид
Paxos is looking for a Director of Engineering Assets and Issuance to lead technical strategy, architecture, delivery, and engineering teams for asset issuance systems.
Prime Intellect is looking for a Founding Solutions Architect to lead customer workload discovery, architecture design, benchmarks, proofs of concept, and production deployment planning.
Проектирование архитектуры новых и развитие существующих продуктов линейки XPlatform как целостных программно-аппаратных решений. Определение оптимального состава аппаратного обеспечения (серверные платформы, системы хранения данных, сетевое оборудование, GPU) под требования производительности, масштабирования, отказоустойчивости и безопасности.
— Разработка новых и доработка существующих витрин данных в рамках перехода Банка на ПВР. — Проектирование логической и физической структуры целевых витрин.
Engage with Solutions Architects to understand the full use case demand plan for prioritized customers. Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts.
Location: Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE OPPORTUNITY
Docker is seeking a Senior Principal Engineer to serve as the technical visionary and architect for how software gets built, verified, and trusted.
Every day, millions of developers pull images, install dependencies, and ship builds to production. Each of those steps is a place where something can go wrong, or be made to go wrong. Compromised base images, malicious packages, tampered build steps, unsigned artifacts moving through pipelines nobody is watching. The industry calls this the software supply chain, and it has become one of the most consequential unsolved problems in software engineering.
This role sits in Docker and Ecosystems, the group that owns Docker’s most well known products and our emerging content and SDLC business. You will own the technical strategy for secure software delivery across all of it, defining what verifiable, tamper-resistant software delivery looks like at Docker's scale, then driving the architecture that makes it real for every developer and every enterprise customer using our products.
You will set multi-year technical direction, make architectural decisions that shape Docker's product portfolio, and work directly with the SVP of Engineering and executive team on strategy. You will not manage people. You will change what the industry considers table stakes.
WHAT YOU'LL DO
TECHNICAL VISION AND STRATEGY
- Lead multi-year technical vision for build security and supply chain across Docker Desktop, Hub, Hardened Images, Verified Publishing, and monetization platforms.
- Define and sequence "trusted by default" architecture for 20M developers.
- Partner with the SVP of Engineering to convert commercial strategy into multi-year technical roadmaps.
- Establish company-wide architectural principles and security standards.
- Identify high-leverage platform investments that enhance security across all Docker products.
- Proactively position architecture ahead of evolving supply chain threats and regulatory demands.
BUILD SECURITY ARCHITECTURE
Architect systems to detect and prevent build-process threats like compromised dependencies, malicious steps, tampered artifacts, and untrusted images.
- Design provenance and attestation infrastructure ensuring Docker artifacts carry verifiable build history.
- Define artifact signing, verification, and policy enforcement across local workflows and CI/CD pipelines.
- Architect SBOM generation, dependency analysis, and vulnerability intelligence for complete software visibility.
- Align with and help shape emerging supply chain security standards.
- Ensure security controls remain fast and unobtrusive so developers keep them enabled.
SDLC AND DEVELOPER WORKFLOW INTEGRATION
- Architect how Docker's security capabilities integrate across the full software development lifecycle, from local development through CI/CD to production deployment
- Design the interfaces and contracts that let Docker's tooling embed into the pipelines, registries, and platforms customers already run, rather than asking them to rebuild around us
- Define the developer experience for security tooling, where the secure path is the fast path and the default path
- Architect policy and enforcement models that satisfy enterprise security and compliance requirements without fragmenting the developer workflow
- Drive convergence of security capabilities across Docker products, replacing product-specific implementations with shared platform primitives
TECHNICAL EXCELLENCE AND INFLUENCE
- Work with leaders across engineering to drive strategy and execution
- Mentor and develop Staff and Principal engineers, raising the technical bar across the organization
- Represent Docker's security architecture externally through blog posts, conference talks, standards bodies, and technical community engagement
- Participate in executive-level discussions, providing architectural perspective on business decisions
- Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability
WHAT YOU'LL BRING
DOMAIN EXPERTISE
- 12+ years of software engineering experience specializing in build security, software supply chain security, or SDLC tooling
- Deep understanding of build process threat models across dependencies, environments, artifacts, and pipelines, along with effective mitigations
- Architectural experience in artifact signing, attestations, SBOMs, dependency security, CI/CD security, base image trust, or vulnerability intelligence
- Practical knowledge of supply chain security frameworks and standards
- Expertise in API design, service architecture, and scalable system integration
- Proven record delivering large-scale distributed systems for millions of users and enterprise customers
- Experience with major cloud platforms (AWS, GCP, Azure) and modern infrastructure
- Bachelor's degree in CS, Engineering, or equivalent practical experience
STRATEGIC AND BUSINESS IMPACT
- Proven track record creating strategic technical plans that enable revenue, expansion, or enterprise deals
- Experience converting business strategy into technical architectures and roadmaps
- Understanding of SaaS business models, enterprise sales, and how security impacts commercial outcomes
- Experience leading build-vs-buy decisions for core platform components
LEADERSHIP AND INFLUENCE
- Ability to lead large, cross-company technical initiatives across multiple engineering teams
- Experience partnering with VPs and executives to define and execute technical strategy
- Proven ability to influence technical direction and build consensus without direct authority
- Strong communication skills for presenting to executives and driving organization-wide alignment
- Experience mentoring senior engineers and developing technical leaders
ENTERPRISE CONTEXT
- Experience building products that serve enterprise customers with complex security and compliance requirements
- Knowledge of enterprise security requirements and compliance frameworks such as SOC 2 and ISO 27001, and their architectural implications
- Understanding of how enterprise security teams evaluate, procure, and operate tooling
PREFERRED
- Scale experience at a security, developer tools, or infrastructure software company
- Experience with containers (Docker, Kubernetes) or developer platforms
- Experience with complex enterprise billing, contracts, usage pricing, and revenue recognition
- Proven ability to migrate legacy systems without disrupting business operations
- Contributions to open-source security tools or supply chain security standards
- Recognized technical leader via speaking, publishing, or open-source work
- Advanced degree in CS, Engineering, or a related field
WHAT SUCCESS LOOKS LIKE
Security Posture
- Artifacts produced through Docker carry verifiable provenance by default, not by opt-in configuration
- Build-time threat classes are addressed architecturally rather than through detection after the fact
- Developers keep security controls enabled because the controls are fast and unobtrusive
Business Enablement
- Security and governance capabilities directly unblock enterprise revenue
- New product SKUs launch in weeks instead of months through the billing platform
- Usage-based billing supports monetization of new security and AI product lines
Platform Leverage
- Product teams ship enterprise-ready, secure-by-default features in under two weeks rather than months
- Shared security primitives replace fragmented per-product implementations
- Platform systems achieve 99.9%+ uptime for business-critical workflows
Organizational Impact
- Recognized across Docker as the definitive technical authority on build and supply chain security
- Multiple Staff and Principal engineers developed who can own major domains
- Docker's voice carries weight in the external supply chain security conversation
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $219K – $352K + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Amsterdam
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
WHAT YOU'LL DO:
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT YOU'LL BRING:
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES:
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
COMPENSATION:
€110,000-€185,000 base salary + equity
Location:
- Netherlands, Amsterdam
- Remote with up to 25% travel
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: London
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
WHAT YOU'LL DO:
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT YOU'LL BRING:
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES:
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
COMPENSATION:
£100,000-£165,000 base salary + equity
Location:
- UK, London
- Remote with up to 25% travel
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Remote - Singapore
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE:
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
KEY RESPONSIBILITIES:
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT WE'RE LOOKING FOR
REQUIRED EXPERIENCE
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES:
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
COMPENSATION:
$185,000-$260,000 base salary + equity
Location:
- Singapore
- Remote with up to 25% travel
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Austin, TX
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
KEY RESPONSIBILITIES
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT WE'RE LOOKING FOR
REQUIRED EXPERIENCE
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
- Willing to travel up to 20% of the time
Location: Austin, Texas
Compensation: $170,000-$270,000 base salary + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
