26 to 37 of 37 Model Context Protocol Jobs in the City of London

equivalent professional experience. Desirable Experience Enterprise model platforms such as Azure AI Foundry, AWS Bedrock or Gemini Enterprise Agent Platform. Agent orchestration frameworks, MCP integrations and AI‐assisted development tools/ADK.dev. SIEM, SOAR, identity governance and enterprise secrets‐management technologies. Cloud‐native modernisation, container platforms and reusable engineering ...

tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

penalized as a result of such a request. Job Summary We are looking for a Product Engineer to join our AI Search and Retrieval Context Engineering as we build the next generation of legal AI experiences for law firms. This is not a traditional front‐end developer role where … role, you will need to understand how your UI fits into the wider system. That may include Azure AI Search, Azure OpenAI, retrieval APIs, MCP‐style tool access, document processing pipelines, security trimming, Microsoft Graph, SharePoint, iManage or other enterprise systems. You do not need to own every layer ...

subject matter specialists — across areas such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, and model platforms and inference — providing the architectural vision, technical governance, and cross-domain coherence that binds their contributions into a unified, enterprise-ready system. You will …/IAP binding, and defense-in-depth enforcement Define the layered guardrail framework applied at every boundary, balancing protection with performance Govern the MCP control plane — registry, gateway, and risk scoring — across all internal and third‐party servers Mandate adopt-over-build for productized evaluation and observability stacks Establish FinOps ...

tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

engineering (security, compliance, scalability) and support customers and partners through implementation. Establish success metrics for integrations and iterate based on real usage. API/MCP Own the product direction for Xapien's configuration API and MCP capabilities — how customers and AI agents programmatically configure, run, and consume Xapien research. Drive ...

campaign creation end to end, from brief intake to first‐draft asset generation, using Claude Enterprise, Copilot Studio, and comparable tools. Orchestrate agents across MCP connectors to optimize AI usage across the tech stack. Partner with Growth Marketing and Customer Growth Marketing to cut manual production time on recurring campaign … workflows or agents in a business context, using tools like Claude, Copilot Studio, or comparable LLM platforms Working fluency orchestrating AI agents through MCP connectors or similar across a multi‐tool stack Experience building or supporting content and campaign automation workflows, from brief intake through first‐draft asset generation ...

that need: ASKB has become a primary conversational interface, grounded in accuracy, transparency and trusted content, and as firms adopt AI across ASKB, agents, MCP-based tools and connectors, the controls and policies governing content access must extend across the entire Terminal experience. Bloomberg is committed to using client content … this layer end-to-end — from the enterprise admin console through the platform primitives that other product teams, including AI, MCP and connector teams, build on. This is a durable and expanding mandate: as the Terminal and its AI surface grow, you'll ensure the controls, compliance capabilities and policies ...

intelligence, and this role owns the platform foundations that make it possible. You will define the AI-ready data strategy, semantics layer, and MCP-first distribution approach that powers internal product teams, partner integrations, and AI-native customer experiences. This is a highly influential individual contributor role where you will … help establish how ICIS delivers trusted market intelligence through AI. Responsibilities Own the platform mission and roadmap for AI-ready data, semantics, and MCP-first distribution Define the standards, data contracts, schemas, versioning, deprecation approaches, and quality measures that underpin AI-ready data across ICIS Evaluate customer signals and identify ...

Enterprise AI stack: HANA Cloud graph and vector store sizing, CAP service layer design, BTP subaccount structure, and Claude model route governance via MCP connector and Skald Gateway. Proven ability to design and govern GraphRAG knowledge planes: ontology and graph edge construction, domain and provenance tagging strategy, trust gate … complete deployment lifecycle — from subaccount provisioning and ingestion pipeline build through to client handover and production go‐live. Direct experience with Claude Code, MCP‐based tool integrations, or equivalent agentic AI frameworks in a controlled enterprise environment, including connector setup, security approval, and end‐to‐end testing. Experience with ...

excited by the opportunity to define a new product development model and work directly with customers to solve high-value problems? Do you thrive in fast-moving environments where discovery, experimentation, and measurable customer impact are at the heart of every decision? About the Business At ICIS, our mission … delivery. You can engage credibly with engineering and data science teams, understand modern AI production patterns such as RAG, evals, agents, tool use, and MCP, and have recent experience building or prototyping AI-driven solutions. Comfort working in ambiguity. You create structure where none exists, make decisions with incomplete information ...