discipline is followed across departments Control scope changes using a clear change log, managing MCP/CCP activity

to do around a GenAI platform: solving problems natively, backend plumbing, API integrations, MCP server builds, and data connections.... Across both levels familiarity with Azure and Microsoft 365 is an advantage. Hands-on experience with LLM integration patterns, MCP

(e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the

, Cursor, GitHub Copilot, or Codex to accelerate coding, debugging, and data pipeline development; familiarity with MCP

Code to codify team-specific workflows. Exposure to MCP (Model Context Protocol) for connecting agents to internal tools

Language Models (LLMs), along with sub-agents, tools, and MCP integrations Architect end-to-end ML pipelines, integrating

, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents... Technical Environment 💻 AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi

intelligent multi-agent systems, AI workflows, prompt chains, knowledge retrieval solutions and Model Context Protocol (MCP

, including the Talent CRM and Workforce Suite, and provides data-as-a-service to customers through channels such as MCP/API... - customers and partners can build on top of it through MCP and API access. You will work with product leadership to set the

quickly and accurately. Desired ITIL Foundation level. Any relevant IT technology qualifications (i.e CCNA, MCP, COMPTIA

. You Will: Design, deploy, and maintain AI agents on Agent Core MCP servers and MCP gateways. Implement and manage observability using

AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering..., and actions to AI agents in a consistent, governed, and repeatable way. The team operates a Central MCP Delivery model: building

. You Will: Design, deploy, and maintain AI agents on Agent Core MCP servers and MCP gateways. Implement and manage observability using

AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering..., and actions to AI agents in a consistent, governed, and repeatable way. The team operates a Central MCP Delivery model: building

and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway... knowledge, data, and actions to AI agents in a consistent, governed, and repeatable way. The team operates a Central MCP

technical strategy for Claude Enterprise, API consumption governance, and MCP integration across the group Identify and ship... as a compliance checkbox AI tooling & automation Hands-on experience with AI-assisted development — LLMs, MCP servers, RAG systems

AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering..., and actions to AI agents in a consistent, governed, and repeatable way. The team operates a Central MCP Delivery model: building

Context Protocol (MCP) servers for service discovery, dependency mapping, and architecture compliance Create AI-assisted... with Model Context Protocol (MCP) Demonstrated use of Claude Code, GitHub Copilot, or similar AI development tools

, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise

, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise