26 to 50 of 489 OpenAI Jobs in London

particularly valuable: complex RAG architectures (multi-stage retrieval, hybrid search, reranking, agent-driven retrieval); graph databases and GraphRAG, particularly ArangoDB; Azure AI services (Azure OpenAI, AI Search, Cosmos DB, AKS, Functions); vector/semantic search; Docker and Kubernetes; multi-tenant applications; LLM evaluation and observability; and Angular, NgRx or .NET ...

production environments. Demonstrable experience successfully designing and launching multiple enterprise GenAI implementations beyond proof‐of‐concept stage. Strong expertise in LLM ecosystems including OpenAI, Anthropic, Gemini, and related model platforms. Hands‐on experience with RAG architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph, AutoGen, and CrewAI. Proven ...

large metadata-driven systems wherebehaviouris configured rather than coded. Experience with agent frameworks such as Semantic Kernel, Microsoft Agent Framework,LangGraph,AutoGen,PydanticAI, the OpenAI Agents SDK orCrewAI. Experience building reusable AI platforms, MCP ecosystems or shared engineering capabilities used across multiple products and teams. Containerisedplatforms and infrastructure automation: Docker ...

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments … successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation ...

About the team OpenAI's mission is to build safe artificial general intelligence that benefits all of humanity. Our EMEA organization translates OpenAI's global mission and strategy into meaningful local impact, working across Growth, Product, Marketing, Partnerships, Finance, Research, Operations and Compliance. About the role As Strategy and Operations … teams without formal authority. Operate with high ownership and urgency in ambiguous, resource-constrained environments. Have a deep interest in AI and alignment with OpenAI's mission. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. ...

skills plus Go or TypeScript Experience supporting LLM/Generative AI applications Understanding of LLM APIs, embeddings, vector search and RAG Exposure to Azure OpenAI, Azure AI Foundry or similar AI platforms Observability using OpenTelemetry, Grafana, Datadog or similar Strong focus on developer experience This is an excellent opportunity ...

50+ enterprise clients from 5 global locations, we work side-by-side with top partners including Databricks, Snowflake, AWS, Microsoft, Google Cloud, Anthropic, and OpenAI to deliver transformative data and AI solutions that drive measurable business impact. Overview We're seeking an experienced Senior Data Engineer to design, build ...

governance considerations specific to AI agents (prompt injection risks, access scoping, audit logging). Experience integrating with LLM provider APIs (e.g., Anthropic Claude API, OpenAI API) including streaming responses and tool-result handling. Qualifications & Experience Bachelor's degree in Computer Science or related field, or equivalent demonstrable experience. ...

into scaled delivery. High-Velocity Solution Engineering Architect, build and rapidly iterate AI agents, prototypes and proofs of value using Azure AI Foundry, Azure OpenAI, Microsoft Copilot Studio and Power Platform. Own solutions from initial concept through technical design, build, demonstration, evaluation and transition into production delivery. Apply high-velocity ...

cloud-native architecture Demonstrated leadership of complex, multi-region enterprise programs Nice to Have Experience with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content architecture: structuring product data ...

Palantir. Hands‐On Modern AI & Agentic Builder Experience: Direct hands‐on experience building, prototyping, or solutioning with frontier LLMs and modern AI tools—including OpenAI, Claude, LangChain/LangGraph, Cursor, or multi‐agent orchestration frameworks. Agent Interoperability & Open Standards: Experience with Retrieval‐Augmented Generation (RAG), prompt engineering, background/conversational ...

plan creation, coding agents, automated code review, gated workflows and audit evidence. Exposure to platforms and tools such as Microsoft Foundry, Azure AI, Azure OpenAI, GitHub Enterprise, GitHub Actions, Claude, CodeRabbit, Microsoft Entra ID, Intune, Purview, Azure Monitor or similar enterprise tooling. Experience working with fintechs, hyperscalers, technology partners, analyst ...

cloud-native architecture Demonstrated leadership of complex, multi-region enterprise programs Nice to Have Experience with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content architecture: structuring product data ...

prompt engineering, fine‐tuning, and integrating LLMs into applications. Maintain up‐to‐date knowledge of different LLM providers and their strengths and limitations (e.g., OpenAI’s GPT and O families, Anthropic’s Claude family, Google’s Gemini, xAI’s Grok, as well as open‐source LLMs like LLama, DeepSeek ...

CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration.* LLM Experience: Practical, production experience with LLM providers (Anthropic, OpenAI, Mistral, Llama) and an informed view on model selection trade-offs.* Cloud Platforms: Strong proficiency in AWS or Azure or GCP, including designing for scale ...

plan creation, coding agents, automated code review, gated workflows and audit evidence.* Exposure to platforms and tools such as Microsoft Foundry, Azure AI, Azure OpenAI, GitHub Enterprise, GitHub Actions, Claude, CodeRabbit, Microsoft Entra ID, Intune, Purview, Azure Monitor or similar enterprise tooling.* Experience working with fintechs, hyperscalers, technology partners, analyst ...

Your mission You train the technical teams of strategic cloud partners to build, integrate and support AI applications with confidence. Your audience is solution architects, field engineers, developers, technical consultants and sales engineering teams. You ...

tracing for GenAI/Agentic AI applications Azure AI & Cloud Services: Hands‐on experience building and deploying AI solutions on Azure, including Azure OpenAI, Azure AI Search, Azure AI Foundry, Cosmos DB, Redis, Azure Monitor/Application Insights, Managed Identity and Key Vault. #J-18808-Ljbffr ...

tracing for GenAI/Agentic AI applications Azure AI & Cloud Services: Hands-on experience building and deploying AI solutions on Azure, including Azure OpenAI, Azure AI Search, Azure AI Foundry, Cosmos DB, Redis, Azure Monitor/Application Insights, Managed Identity and Key Vault. If you receive suspicious outreach claiming ...

Experience Required 15+ years in software/solution architecture; 7+ years in Azure cloud; 5+ years in AI/ML. Hands‐on with Azure OpenAI, Azure AI Foundry, Document Intelligence, Data Factory, ML Service, Databricks, Key Vault, Blob Storage, Synapse Analytics, DevOps. Strong LLM, embeddings, RAG, prompt engineering knowledge. Expertise ...

Python, SQL, and modern data science toolsets. Machine Learning and Predictive Analytics. Generative AI, LLMs, RAG, and Agentic AI frameworks. Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power BI. MLOps and model lifecycle management. Preferred Qualifications Experience ...

tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging ...

Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps , containerisation (Docker, Kubernetes ...

Palantir. Hands-on Modern AI & Agentic Builder Experience: Direct hands-on experience building, prototyping, or solutioning with frontier LLMs and modern AI tools - including OpenAI, Claude, LangChain/LangGraph, Cursor , or multi-agent orchestration frameworks. Agent Interoperability & Open Standards: Experience with Retrieval-augmented Generation (RAG), prompt engineering, background/conversational ...