Senior AI /SharePoint Engineer

Your new company
You will be working for a known organisation. The role is remote working and is a 3-month contract. The daily rate is 480 per day inside IR35.
Your new role
Objective: Lead the technical build of an enterprise AI evidence discovery pipeline across 1,500 SharePoint artefacts (emails, contracts, risk logs) across 60 nested folders using Model Context Protocol (MCP) to standardise LLM tool integration.
Core ResponsibilitiesMCP Server & Tooling Implementation: Design and deploy custom MCP Servers exposing SharePoint Online/Microsoft Graph endpoints and Azure AI Search capabilities as standard MCP tools/resources for LLM hosts and agents.SharePoint Ingestion & Ingest Pipelines: Build secure, recursive Graph API routines to extract documents, emails, and attachments, feeding structured metadata and raw content into the indexing and MCP tool pipelines.Agentic GenAI & RAG Architecture: Implement agentic decision-making using MCP, structured document chunking, prompt engineering, and Azure OpenAI to execute multi-step evidence discovery with explicit source citations.Enterprise Hybrid Search: Integrate Azure AI Search into the MCP tool ecosystem, using hybrid vector/semantic search to retrieve evidence on complex themes (e.g., contractual liabilities, migration risks).Security & Permission Control: Apply Entra ID authentication, OAuth scopes, and permission-aware retrieval to ensure MCP servers enforce least-privilege access based on user identity.Production Engineering: Deliver production-ready code with CI/CD pipelines, automated testing, structured logging, operational runbooks, and mentorship for the Junior Engineer.Technical Capability Matrix
What you'll get in return
Flexible working options available.
What you need to do now
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