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Location: Georgian office; Yerevan, Yerevan, Armenia About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. Our goal is not just to build technology, but to build the future operating model for our clients. Tech stack Core: Java, Spring Boot, RxJava, Redis, MySQL, Apache Kafka Additional technologies: Vespa, Elasticsearch, OpenSearch, Vector Search Technologies, AI/ML Infrastructure, Docker, Kubernetes Key responsibilities Design, develop, and maintain scalable, high-performance backend services using Java and Spring Boot Take ownership of complex technical challenges, from identifying problems and proposing solutions to implementation and production delivery Contribute to architectural decisions and continuously improve system performance, scalability, and reliability Develop and optimize APIs, microservices, integrations, and event-driven systems using Kafka Proactively identify technical bottlenecks, propose improvements, and drive engineering initiatives Troubleshoot complex production issues and ensure high standards of code quality and maintainability Participate in technical discussions, code reviews, and architectural planning Collaborate with product and engineering teams to translate business requirements into reliable technical solutions Contribute to the development and optimization of search functionality and AI-powered features as needed Must-have qualifications 8+ years of hands-on software engineering experience, with deep expertise in Java and production-grade backend development Strong proficiency in Java and Spring Framework / Spring Boot Architect-level technical expertise, including the ability to design complex backend systems, evaluate architectural approaches, and make sound technical decisions Strong understanding of distributed systems, microservices, scalability, performance optimization, fault tolerance, and reliability Solid experience with Redis, MySQL, and Apache Kafka Experience with reactive programming (preferably RxJava) Strong experience designing and developing APIs, backend services, and complex integrations Proactive and self-driven mindset: ability to identify problems and opportunities, propose solutions, develop actionable plans, and take ownership of implementatio Nice-to-have qualifications Experience with Java 25+ Experience developing and optimizing high-performance search systems Hands-on experience with full-text search, vector search, or semantic search technologies Production experience with Vespa, OpenSearch, Elasticsearch, Weaviate, Pinecone, Milvus, Qdrant, or similar platforms Experience building Retrieval-Augmented Generation (RAG) solutions Familiarity with AI/ML infrastructure and pipelines, including integrating machine learning models into production services Experience with embeddings, ranking, indexing, recommendation systems, and AI-powered services Knowledge of cloud platforms and containerized environments (Docker, Kubernetes) Experience with observability, monitoring, and performance analysis tools Previous experience in Staff, Principal, or Architect-level engineering positions Working hours Candidates must be available to overlap with the New York team from 9:00 AM to 1:00 PM ET . The remaining working hours are flexible. We offer Freedom to Develop - equal opportunity to learn and grow professionally Clear career and professional path, strong performance management system Social Benefits Package Equipment English lesson Gym membership All the advantages of working in an international IT company Flexible vacation time Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Gergian legislation. All employment is decided based on qualifications, merit, and business need.Learn more about Lineate at our website: www.lineate. com

Location: Germany Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on public sector and defence accounts in Europe, particularly in Germany. This is a highly specialised role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organisations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Ministries, Agencies, and defence organisations across Europe. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government and defence engagements. Location: Germany Eligibility: This individual must be a German citizen living in Germany and fluent in German, enabling immediate engagement with critical defense and national security customers. Security Clearance: German security clearance is not required, but is a strong nice-to-have. What You'll Do Customer Program Leadership: - Own end-to-end technical program delivery for Germany and broader European public sector and defence customers, from initial deployment through production scaling - Serve as the primary technical program point of contact for customers, building trusted relationships with departmental CIOs, IT directors, and technical teams - Translate complex public sector and defence requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans - Navigate complex procurement processes, RFP responses, and contractual technical obligations. Strategic Communication: - Provide clear, timely, and objective communication across Cohere's engineering organisation, customer stakeholders, pubic sector and defence leadership - Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds - Present technical roadmaps and status updates to senior stakeholders including departmental executives - Represent Cohere's technical capabilities in sensitive government and defence contexts. Complex Program Management: - Create and manage project schedules that account for public sector and defence timelines, security review processes, and approval cycles - Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams - Navigate risks unique to government and defence deployments: privacy compliance, security, political and regulatory, technology and infrastructure. - Drive alignment between product development priorities and specific customer requirements. Technical Delivery & Execution: - Ensure on-time delivery of AI solutions that meet security, privacy, accessibility, and performance standards - Coordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual support - Establish governance checkpoints appropriate for high-stakes government and defence deployments - Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments. You May Be a Good Fit If: Required Experience: - 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery. - Excellent executive communication and stakeholder management. - Experience working with government, defence, or heavily regulated customers. - Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements. - Bachelor’s degree in a relevant field; advanced degree or technical certs a plus. Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator - Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders. Government & Defence Acumen: - Deep understanding of how government and defence organisations procure, evaluate, and deploy technology - Familiarity with European government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications - Understanding of defence and national security considerations in AI deployment - Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset - Eligible to obtain a German security clearance Nice to Have: - Active German security clearance - Bilingual (English/German) proficiency - Background in or strong familiarity with European defence, intelligence, or critical infrastructure sectors - Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments - Project management certification (PMP, PgMP) or government-specific methodologies. Security Clearance Requirements This role strongly prefers eligibility for German government security clearance. We are looking for candidates eligible for German government clearance, meaning that they require German citizenship. In addition, this individual is required to be based in Germany and be fluent in German as this will enable immediate engagement with critical defence and national security customers. What Makes This Role Unique This isn't typical program management - it's a highly specialised role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of Canada's most sensitive and impactful AI deployments, helping government organisations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability. If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how Canada leverages AI to serve its citizens, this role is for you. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Создавать ИИ-агентов с использованием LangChain и LangGraph. Глубокое понимание основ Python: типы данных, функции и классы, обработка исключений, итераторы и генераторы, context managers, модуль typing, внутренняя структура объектов и управление памятью.

Следить за изменениями в агентах, скиллах, промптах и RAG и проверять затронутые сценарии до релиза. Составлять E2E-сценарии работы юриста в чате и запускать их через агентов-тестировщиков: тесты идут параллельно, отчёты собираются автоматически.

Строить и проверять evals для AI-агентов: собирать тестовые наборы, считать метрики качества, искать систематические ошибки модели. Анализировать выходы агентов: распределения признаков по компаниям и отраслям, расхождения между прогонами, аномалии.

Мы ищем Python-разработчика с опытом от 3 лет для создания backend-сервисов, интеграции AI-агентов и RAG-систем в бизнес-процессы.

– Разрабатывать AI-решения поверх нашей платформы: agentic workflows, tool calling, RAG, memory и human-in-the-loop контуры. – Проектировать multi-agent системы без жёсткой привязки к конкретному фреймворку или SDK — с логикой взаимодействия агентов, состоянием, памятью, маршрутизацией и обработкой ошибок.

• Разработка backend-сервисов и REST API на FastAPI. • Интеграция и работа с LLM.

Location: Москва Мы ищем технического драйвера R&D-команды, который поможет переводить качественные HR-гипотезы в цифры и работающие прототипы. Обязанности * проектировать архитектуру новых HR-процессов и проводить технический анализ: оценивать стоимость и реализуемость идей R&D-команды на текущем ИТ-ландшафте компании * работать с данными: писать Python-скрипты для сбора информации из внешних и внутренних источников, выгружать и очищать массивы данных из HR-систем для поиска скрытых паттернов и аналитики рынка труда * создавать быстрые прототипы (MVP) для практической проверки исследовательских гипотез команды * работать с метриками: проектировать дизайн экспериментов, формулировать метрики успешности гипотез и оценивать результаты A/B-тестов. Требования * опыт работы системным или бизнес-аналитиком от 2-х лет (опыт в проектах HR-Tech будет весомым плюсом) * системный анализ (API & интеграции): понимание принципов работы REST API и микросервисной архитектуры; свободное чтение и проектирование контрактов/структур данных в формате JSON/XML * Python * SQL : написание сложных запросов для выгрузки данных из сложных реляционных баз * опыт автоматизированного сбора данных с помощью открытых API * основы математической статистики: уверенное понимание матстата для качественного анализа логов и результатов экспериментов * Prompt Engineering & LLM: опыт работы с API современных языковых моделей (GigaChat, Claude, GPT), понимание принципов построения RAG-систем для работы с корпоративной документацией как плюс * базовое понимание Machine Learning (ML) как плюс. Условия * комфортный современный офис рядом с м. Кутузовская (гибридный режим работы) * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * программу адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративную пенсионную программу.

Уверенный React/TypeScript и Python (FastAPI).

• Формировать видение продукта, ценностное предложение и УТП; • Управлять бэклогом, приоритетами и дорожной картой;

Location: Москва Команда Управления развития инвестиционного бизнеса в поиске бизнес-аналитика с уклоном в ML и разработку AI-агентов. Вы присоединитесь к динамичной команде, которая с нуля создаёт и выводит на рынок передовые криптовалютные продукты для физических лиц, интегрируя их в экосистему Сбера. Наша цель — не просто реализовать функционал покупки, продажи и хранения активов, а построить надёжный мост между миром традиционных финансов и блокчейн-технологиями, создав лучший пользовательский опыт на рынке. Обязанности ### Чем предстоит заниматься: * проводить анализ и формализацию требований к продуктам, связанным с работой AI-агентов с криптовалютными активами, цифровыми финансовыми активами (ЦФА) и классическими финансовыми инструментами * разрабатывать AI-агентов на базе больших языковых моделей (LLM): проектировать логику работы, подключать инструменты и API, управлять контекстом и последовательностью действий * создавать решения с использованием RAG: готовить данные и базы знаний, настраивать поиск и использование информации в ответах агентов * разрабатывать и совершенствовать ML-модели, выбирать подходы под конкретные задачи, проводить эксперименты и оценивать результаты * отрисовывать клиентские пути и внутренние процессы взаимодействия с ИИ-агентами, проводить аналитическую работу по улучшению пользовательского опыта * создавать прототипы, проверять гипотезы и совместно с командой разработки доводить решения до промышленной эксплуатации * улучшать надёжность, скорость и стоимость работы AI-решений, оценивать их влияние на пользовательский опыт и эффективность процессов. Требования ### Что для нас важно: * высшее образование * практический опыт разработки ML/AI-решений и понимание полного цикла работы с моделями — от подготовки данных до внедрения и оценки качества * опыт создания приложений на базе LLM, включая AI-агентов, которые используют внешние инструменты и выполняют последовательности действий * понимание принципов RAG, эмбеддингов, векторного поиска и работы с контекстом LLM * знание основных методов машинного обучения, умение выбирать метрики, проводить эксперименты и интерпретировать результаты * умение переводить бизнес-задачи в технические решения и взаимодействовать с аналитиками, разработчиками и продуктовыми командами * уверенное владение Python, опыт работы с библиотеками для машинного обучения и обработки данных * навыки работы с SQL, API и Git * навыки применения ИИ в профессиональной деятельности (например, Гигачат, Кандинский). ### Дополнительным преимуществом будет: * опыт настройки инфраструктуры для развёртывания, мониторинга и обновления ML/LLM-сервисов * опыт дообучения моделей под прикладные задачи * опыт работы с финансовыми и инвестиционными продуктами * знакомство с криптовалютным рынком и блокчейном: BTC, ETH, централизованные и децентрализованные биржи, стейкинг, DeFi * понимание цифровых финансовых активов, инструментов фондового рынка и процессов учёта и перевода активов. Условия ### Что мы предлагаем: * комфортный современный офис по адресу: ул Поклонная, 3к1 * гибридный формат работы * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * программу адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * вознаграждение за рекомендацию друзей в команду Сбера * корпоративную пенсионную программу.

написание спецификаций для разработчиков на основе бизнес-требований и макетов интерфейсов. участие в процессе тестирования созданного функционала.

Задачи: — функциональное тестирование backend сервисов и UI и написание и поддержка тестовой документации (чек-листы, тест-кейсы, баг-репорты, инструкции) — подготовка тестовых данных для тестирования / проведения ПСИ, участие в релизах, проведение регрессионного тестирования и в проведении сценариев приемо-сдаточных испытаний (ПСИ) — участие в работе с обращениями от пользователей и анализ информации в БД и логах сервисов — построение и поддержка eval-набора (golden set) и регрессионного контроля качества при смене моделей, промптов и версий приложения — автоматизированная оценка качества генерации (LLM-as-judge, метрики типа Ragas) при релизах — тестирование RAG: качество поиска релевантного контекста, корректность источников, поведение при неполной / противоречивой информации — тестирование агентных сценариев: многошаговые цепочки, вызовы инструментов (MCP), повторные попытки, эскалация к человеку — участие в мониторинге качества в проде и настройке обратной связи от пользователей. Требования: — опыт работы в тестировании от 3 лет — понимание HTTP, кодов ответов, авторизации — опыт тестирования API (REST/JSON) для проверки интеграций и бизнес-логики, микросервисного взаимодействия — опыт тестирования запросов с помощью Postman/Insomnia/Swagger — опыт работы с форматами данных: JSON, YAML, XML, HTML — знание SQL, умение написать SQL запрос средней сложности — базовый опыт работы с системами сбора и визуализации метрик, работа с логами (Prometheus, Grafana) и понимание CI/CD и участия QA в пайплайнах доставки — понимание принципов работы LLM и их ограничений: недетерминированность вывода, галлюцинации, методы оценки качества генеративных моделей и опыт построения eval-наборов (golden set) и оценки качества LLM — желательно — LLM-as-judge, Ragas. Будет плюсом: — понимание RAG и методов оценки качества retrieval: релевантность контекста, корректность источников — опыт тестирования агентных систем: многошаговые агенты, tool calling — опыт работы с Python для автоматизации оценки (pytest) — понимание метрик качества AI-продукта и мониторинга качества в проде — опыт работы с Kafka — опыт работы с векторными / графовыми БД (например, Qdrant) Условия: — гибридный формат работы из офиса в г. — Москва — годовой бонус и ежегодный пересмотр — ДМС с первого дня + стоматологию и льготное страхование для семьи — корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях — офис на Ленинском проспекте с зонами отдыха и спортзалом — льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky faucet?” to “What should I watch next?”, the Answers Relevance team leverages AI to connect people with the real-world wisdom of Reddit communities. We’re hiring Senior and Staff Machine Learning Engineers to make Answers smarter, more relevant, and more helpful. Our SOTA AI systems helps surface the right conversations, but the heart of Answers is still people helping people ~ Redditors sharing what they know with each other! What You’ll Work On You’ll lead ML projects from idea to production, partnering with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems. You don’t need experience in every area listed below. A background in a few may make you a great fit! Recommendations, search, content understanding, or large-scale data and ML infrastructure SOTA large scale RecSys Foundational retriever models RAG systems, retrieval methods, LLM evaluation, or production LLM features Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization Improving grounding, instruction following, and hallucination; evaluating retrieval and generation quality Scaling LLM systems, including latency, caching, and cost; safety measures for prompt injection and unsafe inputs Defining product success metrics, feedback loops, and evaluation approaches, including human review What You’ll Do Build and improve large-scale ML systems, including retrieval and ranking, embeddings, and LLM-powered features Set technical direction and deliver measurable user and business impact Work with partner teams to shape product and technical roadmaps Evaluate new AI/ML approaches and support responsible LLM development Mentor engineers and contribute to long-term ML planning Required Qualifications 4–12 years of experience building, deploying, and operating ML systems in production Broad knowledge of ML fundamentals and experience applying them in production; expert-level modeling depth isn’t required Experience developing and productionizing models with TensorFlow, PyTorch, or Hugging Face Transformers Experience writing production-quality code, including testing, evaluation, and monitoring; Python experience required, Golang experience a plus Experience with ML systems such as data pipelines, feature engineering, model training and serving, and production monitoring Strong communication and collaboration skills, and a record of delivering measurable product impact Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

— Поддержка и развитие AI-сервиса на Python и LangChain. — Интеграция LLM-моделей, разработка AI-агентов и RAG-систем.

Location: New York; San Francisco Bay Area, California; Connecticut Workplace: hybrid Provectus is a Premier AWS Partner and an Anthropic Strategic Partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Insurance, Healthcare and Life Sciences, Retail, and Entertainment. We build custom generative AI and agentic AI systems on live client data, not off the shelf products and not demos. We are hiring a Senior Solution/Product Owner for our AI Delivery practice, a forward deployed seat at the intersection of frontier AI and enterprise transformation. You will own both the story and the delivery for client engagements built on Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation. In one week you might frame an ROI case for a CFO, align a healthcare or financial services stakeholder on a compliant GenAI rollout, and pair with a Forward Deployed Engineer to wire an MCP integration or ship a Claude Code harness. What You Will Do: Own client engagements end to end, from use case framing and business case through scoped delivery, first deployment, and measurable results Define the value proposition, positioning, and reusable artifacts for your assigned Program or Blueprint, and align sales, delivery, and account teams around them Build business cases covering market fit, ROI, and competitive positioning, and translate them into scoped statements of work Run discovery, use case validation, design thinking workshops, and user research, and turn findings into demos and production deployments Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data, driving rapid prototyping from use case to context to result Build hands on with the Provectus delivery stack, including Claude, Claude Code, MCP servers, connectors, Skills, and plugins Define product vision and roadmap for GenAI, LLM, RAG, and agentic AI engagements, and judge solution quality alongside architects and engineers Break complex work into incremental releases, and balance delivery speed against technical debt and architecture Lead Agile and Scrum execution across backlog, sprint planning, and release, following our Sprint, Enable, Realize engagement model Define success metrics and analytics, and drive continuous improvement through root cause analysis Contribute to the measurement framework behind our board level AI Maturity Index, ROI signal, and cost read Support change management, stakeholder alignment, enablement, and reusable playbooks so wins repeat across accounts What You Will Bring: 5 to 7+ years in product ownership, solution ownership, technical product management, or delivery leadership 3 to 5+ years working with AI/ML, generative AI, LLM applications, agentic systems, or data platforms Deep domain expertise in Financial Services and Insurance and/or Healthcare and Life Sciences, ideally in a client facing or consulting context Track record operating forward deployed or embedded with clients, as a Forward Deployed Engineer or Forward Deployed Expert, including hands on prototyping Proven ability to take an offering, program, or product from zero to one and land it as real client delivery Daily working use of Claude, Claude Code, and similar GenAI tools, including building your own skills, workflows, and productivity tooling Comfort with MCP (Model Context Protocol) integrations, connectors, and custom agent harnesses Understanding of GenAI and agentic patterns, including prompt engineering, RAG, embeddings, vector databases, and agent frameworks, deep enough to assess quality and translate it for executive stakeholders Data fundamentals: what ETL/ELT, data modeling, and data governance mean in an enterprise context Familiarity with AWS as a primary cloud platform, including Bedrock, and working awareness of MLOps and AI observability Strong Agile and Scrum experience, and familiarity with outcome based, milestone priced consulting engagements Design thinking, data driven decision making, and executive storytelling that holds up in front of a CFO or CIO Enough engineering empathy to earn credibility with senior engineers and solutions architects on day one Bias to action and structured problem solving in ambiguity Based in the San Francisco Bay Area or New York City metro area, and authorized to work in the US without sponsorship Nice To Have: A second priority vertical beyond your primary Financial Services or Healthcare focus Prior experience in an AWS Premier Partner or Anthropic partner environment Claude Certified Architect, Seller, or Developer certification, or willingness to complete one early Certifications such as CSPO, SAFe PO/PM, or AWS, Azure, or GCP Software development or solutions engineering background What We Offer: Base salary range of $140,000 to $180,000 USD depending on experience Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare The chance to shape how leading enterprises adopt AI, from strategy through first deployment A forward deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Health, dental, vision, and 401(k) with company match Unlimited PTO Access to the latest AI tools and premium subscriptions Internal training programs with full support for AWS and Claude certifications Hybrid work in San Francisco or New York

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. The Senior People Technology Solutions Lead is a senior individual contributor responsible for advancing the technology capabilities that support SIE's global People organization. Grounded in People Technology and enterprise HR systems, this role combines a strong understanding of HR processes, platforms, data, integrations, and employee experiences with expertise in emerging technologies such as generative AI, AI agents, agentic orchestration, APIs, Model Context Protocol (MCP), automation, and AI-assisted development. Reporting to the Senior Director of People Technology Services, this role serves as a technical practice lead for innovation within PTS. The Principal Platform Engineer works across HRIS, integrations, reporting and analytics, service delivery, and other People Technology areas to identify opportunities, establish technical direction, develop use cases, and turn emerging capabilities into practical solutions. Success requires strong partnership across organizational boundaries. The role works closely with People & Places as PTS's key business stakeholder, understanding priorities and identifying opportunities where technology can improve employee experience, service delivery, efficiency, and insight. At the same time, the role connects PTS with the broader IT strategy and enterprise technology capabilities in areas such as AI and agents, service management, low-code development, data, integration, security, and architecture. This is a hands-on senior technical role as well as an influential one. The Principal Platform Engineer operates with a strong bias for action, using Agile and iterative approaches to quickly turn ideas into learning and business value. Depending on the problem, that may mean developing a technical position or white paper, rapidly building a prototype or proof of concept, or incrementally evolving a solution toward production. The emphasis is on testing ideas early, learning from evidence, and continuously refining the approach while helping colleagues across PTS build the skills and confidence to use emerging technologies effectively. Key Responsibilities People Technology Strategy & Innovation Serve as a technical practice lead for emerging technology within PTS, helping establish direction for the practical and responsible adoption of AI, automation, orchestration, application extension, and other new capabilities. Apply broad knowledge of HR technology, HR processes, workforce data, integrations, reporting, security, and service delivery when identifying opportunities and shaping solutions. Translate developments in enterprise technology, vendor roadmaps, and internal capabilities into practical People Technology use cases, technical positions, and actionable recommendations. Identify opportunities across PTS where technology can reduce repetitive operational work, improve quality and employee experience, increase insight, or enable the team to focus greater capacity on higher-value activities. Establish reusable approaches and solution patterns that allow successful ideas to scale across PTS rather than remaining isolated experiments. AI, Automation & Agile Solution Delivery Provide hands-on technical leadership for solutions using generative AI, AI agents, agentic workflows, APIs, MCP, workflow orchestration, automation, Codex, low-code technologies, and other emerging capabilities. Use rapid prototyping and iterative delivery to test assumptions, demonstrate possibilities, gather feedback, and reduce uncertainty before committing to larger investments. Break complex opportunities into smaller, testable increments that can demonstrate value quickly and inform subsequent decisions and development. Lead technical design for complex or cross-platform solutions, evaluating build, buy, extend, integrate, automate, and orchestrate options based on business value, feasibility, architecture, security, user experience, and sustainability. Apply appropriate AI patterns including grounding and retrieval, context management, tool calling, structured outputs, evaluation, guardrails, observability, and human oversight. Lead or contribute directly to prototypes, proofs of concept, and production implementations, remaining sufficiently hands-on to validate ideas and solve difficult technical problems. Use evidence from prototypes, experiments, and delivered capabilities to determine whether to iterate, scale, change direction, or stop. Partnership & Enterprise Collaboration Partner with People & Places leaders and teams to understand priorities, challenges, and opportunities and translate them into potential technology-enabled outcomes. Connect PTS strategy and use cases with the broader IT technology strategy , identifying where enterprise platforms and shared capabilities can accelerate or improve People Technology solutions. Collaborate with teams responsible for capabilities such as enterprise service management and employee-service experiences (e.g., ServiceNow), AI agents and conversational experiences (e.g., Moveworks), low-code development and workflow automation (e.g., Microsoft Power Platform), enterprise AI platforms, data, integration, security, and architecture. Act as a boundary spanner across business and technology organizations, bringing together the appropriate expertise and capabilities to address opportunities that cross organizational or platform boundaries. Represent the particular needs of People Technology, including sensitive workforce data, complex HR processes, employee experience, and regulatory considerations, while promoting reuse of enterprise capabilities and alignment with broader technology standards. Influence, Adoption & Practice Development Establish a clear technical point of view through recommendations, white papers, presentations, prototypes, and well-led discussions that result in decisions and action. Bring structure and direction to complex technology discussions, clearly communicating options and tradeoffs and adapting technical detail to the audience and decision required. Build adoption of new tools and approaches across PTS through demonstrations, coaching, reusable examples, documentation, mentoring, and hands-on collaboration. Mentor team members and increase broader PTS capability in AI, automation, APIs, orchestration, solution design, and modern technology practices. Act as an agent of change, helping colleagues understand why new approaches matter, demonstrating their value through practical application, and supporting adoption as successful capabilities become part of everyday delivery. Ensure solutions meet SIE expectations for architecture, security, privacy, data protection, responsible AI, auditability, human oversight, and production support. Measure success not only through individual delivery, but through adoption, reusable capability, measurable business outcomes, reduced operational effort, and increased capacity for higher-value work. Required Qualifications 10+ years of experience across enterprise technology, application development, automation, HR technology, digital transformation, platform development, or technology consulting, with significant experience delivering complex technology solutions. Demonstrated hands-on experience designing and delivering solutions using generative AI, automation, APIs, integrations, workflow technologies, or modern application-development approaches. Demonstrated experience taking emerging technology from concept or proof of value through iterative development, production implementation, adoption, and ongoing operation. Strong practical understanding of generative AI and agentic architectures, including agents, orchestration, grounding and retrieval, tool use, APIs, evaluation, guardrails, human oversight, and production considerations. Experience leading complex technical initiatives that span systems, teams, or organizational boundaries and influencing outcomes without relying on direct management authority. Demonstrated ability to evaluate technology options, establish a clear point of view, and translate that thinking into recommendations, technical positions, prototypes, designs, or delivered solutions. Working knowledge of enterprise HR technology and HRIS concepts, including workforce data, business processes, integrations, reporting, security, and handling sensitive employee information. Demonstrated experience using Agile and iterative development approaches, including rapid prototyping and experimentation, to reduce uncertainty and progressively deliver business value. Strong communication and facilitation skills, with the ability to explain complex technology to technical, business, and leadership audiences and drive discussions toward decisions and outcomes. Demonstrated ability to mentor others, share expertise, and increase technical capability beyond one's own individual contribution. Preferred Qualifications Experience working in People Technology, HR Technology, or HRIS within a complex global enterprise environment. Experience with enterprise architecture, API ecosystems, cloud services, integration platforms, RAG, vector search, observability, or AI evaluation frameworks. Experience with Workday HCM, Workday integrations, Workday APIs, Workday Orchestrate, Workday Extend, or comparable enterprise HR platforms and extension capabilities. Experience developing AI agents, multi-step agentic workflows, or enterprise orchestration solutions. Experience with Model Context Protocol (MCP) or comparable approaches for securely connecting AI models and agents with enterprise tools and information. Experience with AI-assisted software development and coding agents (e.g., Codex). Experience with enterprise service management and workflow platforms (e.g., ServiceNow). Experience with enterprise AI agent or conversational platforms (e.g., Moveworks). Experience with low-code application development and workflow automation platforms (e.g., Microsoft Power Apps and Power Automate). Experience applying security, privacy, responsible AI, data governance, monitoring, or evaluation controls to enterprise AI and automation solutions. Profile The successful candidate will: Be a boundary-spanning technical leader who connects People Technology priorities with capabilities and expertise across the organization and influences outcomes through credibility rather than formal authority. Maintain a strong bias for action and learning , using rapid experimentation and iterative delivery to create momentum and learn from evidence while applying appropriate rigor based on risk and complexity. Remain hands-on , moving comfortably between technical strategy and practical execution, including prototypes, solution design, architecture, and difficult technical problems. Build a practice, not a dependency , increasing the ability of others to identify opportunities and use emerging technologies rather than becoming the person who must personally own every innovative solution. Turn knowledge into influence and action through clear recommendations, white papers, presentations, prototypes, experimentation, and disciplined discussions that lead to decisions and delivery. Be technology curious, but not technology led , embracing AI, agents, Codex, MCP, APIs, orchestration, low-code platforms, and emerging technologies while beginning with the problem and desired outcome. Understand People Technology , recognizing the intersection of complex HR processes, sensitive workforce data, employee experience, integrations, controls, and global requirements. Be a multiplier , with impact demonstrated through both personal delivery and increased capability, productivity, innovation, and insight across PTS. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $169,400 — $254,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.