3 of 3 Microsoft Certified Professional Jobs in the Midlands

focused on designing and delivering production-grade AI applications, intelligent agents and automated workflows within a large, governed enterprise environment. You'll work across Microsoft Copilot, Python, Power Platform and Azure, combining modern software engineering with AI and workflow automation to build solutions that move beyond proof-of-concept … automated testing experience Experience with Docker, Kubernetes or Azure Container Apps An understanding of production monitoring, reliability and observability Experience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable. Why join? This is an opportunity ...

LLMs, agentic AI and generative AI services. Select and integrate appropriate AI frameworks and tools (e.g. LangChain, Semantic Kernel, Llama, vector-based search, MCP/Model Context Protocol) into the enterprise architecture. Design and implement RAG (Retrieval-Augmented Generation) architectures, including data ingestion, vector stores, and knowledge layer orchestration. Ensure … technical AI solutions. Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management. Experience designing and implementing RAG architectures in enterprise environments. Background in cloud platforms (e.g. AWS, Azure ...

This job is with LexisNexis Legal & Professional®, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions … equivalent compiled language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability ...