151 to 175 of 532 Model Context Protocol Jobs

/application development Strong SQL skills Experience working with AI/LLMs within applications Experience with agentic AI/agentic workflows Experience with MCPs (Model Context Protocol) Strong understanding of VisOps, UX and data storytelling Experience creating clear, executive-level reporting and analytics What Will Make ...

Moody's is seeking an Associate Director-Product Manager to lead strategy, development, and delivery of AI-enabled Model Context Protocol products in a London context. You will own the roadmap, define requirements, and partner with engineering, design, data, security, and strategy teams. Ideal candidates have extensive ...

strategies and roadmaps to accomplish business outcomes. Maintain a strong information security and responsible AI posture, ensuring risk mitigation and adherence to data protection, model governance and applicable regulatory requirements. Qualifications What you’ll bring Extensive technology experience. The ideal candidate will demonstrate hybrid expertise in engineering and technology … constraints and proven hand in navigating variable regional requirements in the implementation of centralized enterprise assets. Deep specialist knowledge of generative AI, agentic systems, model-provider ecosystems and enterprise AI engineering patterns, with the ability to apply that expertise across related technology disciplines. Practical experience designing, building and deploying ...

patterns, governance, and delivery support.CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions … agents in a consistent, governed, and repeatable way.The team operates a Central MCP Delivery model: building critical MCP tools and services “for” product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution.LSEG AI Assist/Internal MCP ...

governance, and delivery support. CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions … agents in a consistent, governed, and repeatable way. The team operates a Central MCP Delivery model: building critical MCP tools and services "for" product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution. LSEG AI Assist/ ...

understand business challenges and identify AI transformation opportunities Design end-to-end AI and LLM solutions leveraging Tencent Cloud TokenHub, foundation models, AI Agents, MCP ecosystem, and enterprise AI capabilities Lead technical discovery workshops, architecture design sessions, POCs, technical validation, and production deployment planning Work with customer engineering teams during … complex technical issues and optimise AI application performance in enterprise production environments Design scalable enterprise AI architectures using LLMs, Prompt Engineering, RAG, AI Agents, MCP, fine-tuning, inference optimisation, vector databases, API integration, workflow orchestration, and cloud-native AI services Collaborate with Product, Engineering, and Research teams to translate customer ...

constraints and proven hand in navigating variable regional requirements in the implementation of centralized enterprise assets. * Deep specialist knowledge of generative AI, agentic systems, model-provider ecosystems and enterprise AI engineering patterns, with the ability to apply that expertise across related technology disciplines. * Practical experience designing, building and deploying … extensions. * Hands-on experience integrating with large language models via APIs, including tool use, governed data access and emerging interoperability patterns such as the Model Context Protocol. * Strong understanding of generative AI engineering fundamentals, including: o Prompt engineering and context design. o Context engineering, retrieval-augmented ...

automate engineering workflows such as testing, code reviews, documentation, operational support, and data quality monitoring. Familiarity with AI interoperability and orchestration protocols such as MCP, A2A, or similar frameworks. Experience influencing technical strategy across multiple teams and driving organization-wide engineering improvements. Why Choose Fitch: Work-Life Balance First ...

voice, chat and email. Our agents are already live: a pay as you go voice assistant built on a real time speech to speech model, a multi channel customer facing agent spanning voice, chat and WhatsApp, and a standalone agentic webchat service running on AgentCore Runtime. As a Senior … harness. Define what accuracy, containment and safe behaviour mean for each product, assemble regression sets, and make it possible to ship a prompt or model change with evidence rather than optimism. Implement guardrails and safety controls, including PII handling, out of scope refusal, jailbreak resistance and clean escalation ...

rota for high impact incident response. Production AI runtime platforms: Build/deploy and operate the infrastructure for centrally hosted AI platform services, including MCP server infrastructure, model gateway services and supporting control-plane components. Design runtime patterns for isolation, scalability, secure execution, capacity management and cost-aware operation. … production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management ...

/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab CI/CD and Azure Data Factory. What’s on offer Up to £82,000 salary Annual performance bonus 28 days' holiday plus ...

patterns, governance, and delivery support.CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions … agents in a consistent, governed, and repeatable way.The team operates a Central MCP Delivery model: building critical MCP tools and services “for” product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution.LSEG AI Assist/Internal MCP ...

experience with LLMs (GPT, Claude, Gemini, Azure OpenAI). Experience building Agentic AI and RAG solutions. Hands-on with LangGraph, Semantic Kernel, AutoGen, CrewAI, MCP, or similar frameworks. Experience with Azure AI Foundry, Azure OpenAI, AKS, Containers, Cosmos DB, SQL, REST APIs, and Microservices. Proven experience leading engineering teams ...

orchestration, tool use, and LLM limitations Integration & APIs Experience with REST/GraphQL APIs, authentication, and system integration Experience building reusable services and connectors MCP or similar integration patterns desirable Cloud & Platforms Microsoft Azure experience (AI services, Functions, containers) Exposure to Copilot Studio or similar ecosystems beneficial DevOps & Delivery ...

orchestration, tool use, and LLM limitations Integration & APIs Experience with REST/GraphQL APIs, authentication, and system integration Experience building reusable services and connectors MCP or similar integration patterns desirable Cloud & Platforms Microsoft Azure experience (AI services, Functions, containers) Exposure to Copilot Studio or similar ecosystems beneficial DevOps & Delivery ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks — and can describe projects where you shipped real work with these tools. You know how to drive an agent ...

this position you will play a key part in:* Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management* Delivering solutions using the latest GenAI and Agentic Frameworks, such … Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar.* Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging Face OR similar).* Proficiency in CI/CD and containerisation: GitHub Actions, Azure DevOps, Docker, Kubernetes. ...

MLOps framework, governance and best practices as per industry standards Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management Delivering solutions using the latest GenAI and Agentic Frameworks … Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar. Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging Face OR similar). Proficiency in CI/CD and containerisation: GitHub Actions, Azure DevOps, Docker, Kubernetes. ...

problem-solving skills and the ability to work independently on complex technical challenges. Excellent communication and collaboration skills. Preferred Qualifications Experience with AI platforms, MCP, tool orchestration, agent frameworks, or LLM integration. Experience building applications that leverage Large Language Models (LLMs). Experience with Retrieval Augmented Generation (RAG), vector databases ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

FastAPI good to have) Database: PostgreSQL Architecture: Microservices, API orchestration, scalable systems Cloud & DevOps: AWS, Docker, CI/CD AI/GenAI: Claude API, MCP, LLMs (GPT, Claude, Open source) AI Patterns: RAG, Agentic AI, Vector Databases, Prompt Engineering ...

software engineering foundations, including version control, automated testing, and monitoring; Nice to have: Experience with agentic AI systems, GenAI and LLM systems in production, MCP, MLOps pipelines, real-time or streaming systems. Условия Competitive salary and company bonus scheme; Group pension scheme; Group healthcare and life assurance scheme; Hybrid working ...

Kubernetes, CI/CD, and major cloud platforms Expertise in LLMs, Prompt Engineering, Vector DBs, RAG pipelines, and Agentic orchestration frameworks Agentic/Integrations: MCP, Salesforce/SAP/Other Excellent communication with both technical and executive stakeholders Mentorship capability and collaborative team-first mindset BS/MS/ ...

Hands‐on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability ...

Sound judgement around data access, PII handling, RBAC, and the security implications of letting AI systems act autonomously. Preferred experience Familiarity with agentic patterns (MCP, RAG, evaluation frameworks) and the maturity to know when a simpler approach beats a more sophisticated one. Experience in a scale-up, SaaS, or other ...