Senior AI Engineer

Overview

We are supporting a leading UK organisation in their search for a Senior AI Engineer to join a major digital transformation programme.

This role will focus on designing and delivering next-generation AI solutions using Large Language Models (LLMs), agentic AI frameworks, and cloud-native technologies.

Working closely with architects, engineering teams, and business stakeholders, you will develop scalable, secure, and production-ready AI applications that solve complex business challenges while driving innovation across the organisation.

Key Responsibilities

• Design and develop agentic AI systems capable of multi-step reasoning, planning, and execution.
• Build scalable AI applications using Python.
• Develop and integrate solutions using Azure OpenAI Services.
• Design orchestration pipelines using Semantic Kernel and LangGraph.
• Integrate enterprise systems, APIs, and tools using MCP or similar frameworks.
• Design memory management, context handling, and intelligent agent behaviours.
• Optimise AI solutions for performance, scalability, latency, and cost.
• Lead the implementation of AI services and establish engineering best practices.
• Design Retrieval-Augmented Generation (RAG) architectures.
• Define AI orchestration patterns and multi-agent workflows.
• Embed governance, security, and responsible AI principles into solutions.
• Support production deployments, monitoring, and troubleshooting.
• Collaborate with technical and business stakeholders to translate requirements into AI solutions.

Essential Skills & Experience

• Proven experience designing and building enterprise AI solutions.
• Strong Python development skills.
• Hands-on experience with Azure OpenAI Services.
• Experience designing multi-agent AI architectures.
• Strong understanding of Retrieval-Augmented Generation (RAG) architectures.
• Experience with Semantic Kernel and LangGraph.
• Knowledge of Model Context Protocol (MCP) or similar integration frameworks.
• Experience building scalable AI microservices.
• Strong understanding of event-driven architectures.
• Experience integrating AI solutions with enterprise APIs and systems.
• Knowledge of AI governance, security, and responsible AI principles.
• Experience deploying and supporting AI solutions in production.
• Strong stakeholder engagement and communication skills.

Desirable Skills

• Experience with Azure AI Foundry.
• Experience with Azure AI Search.
• Knowledge of prompt engineering, embeddings, and model fine-tuning.
• Experience designing cloud-native AI platforms on Microsoft Azure.
• Familiarity with microservices architectures.
• Experience working on enterprise-scale digital transformation programmes.
• Exposure to MLOps, AI observability, and model monitoring.
• Experience mentoring engineers or providing technical leadership.