Artificial Intelligence Engineer
Posted Today by Cititec
£700 Per day
Outside
Hybrid
London Area, United Kingdom
Summary: The AI Engineer role involves supporting a financial services firm's transformation program by focusing on enterprise-wide data migration from Oracle to Azure. The position requires designing and implementing AI solutions to enhance software development life cycle (SDLC) and data migration processes, while working closely with engineering teams. Ideal candidates will have a background in data or software engineering and hands-on experience with AI capabilities in production environments. The role is hybrid, requiring three days on-site in London.
Key Responsibilities:
- Design and implement Agentic AI solutions to enhance SDLC and data migration
- Deploy and manage AI agents across engineering teams
- Work closely with developers to integrate AI-driven workflows
- Contribute to Azure-based data platform build (Fabric, Cosmos, Data Factory)
- Help define best practices for AI-enabled engineering at scale
Key Skills:
- Python engineering background
- Experience with Azure AI / AI Foundry
- Hands-on use of Claude or Copilot in production environments
- Proven experience implementing MCP servers
- Background in data engineering or software engineering
- Experience with Microsoft stack: Fabric, Cosmos DB, Azure Data Factory
Salary (Rate): £700/day
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
AI Engineer - Hybrid (London-based, 3 days onsite – flexible) - up to £700/day (Outside IR35) We’re supporting a major transformation programme for a financial services firm, focused on an enterprise-wide data migration from Oracle to Azure. This is a multi-year initiative to build a modern data platform leveraging Microsoft Fabric, Cosmos DB, and Azure Data Factory — with a strong focus on integrating Agentic AI to accelerate the SDLC and data migration processes. You’ll join a large engineering function working at the cutting edge of AI-enabled development. The focus is on embedding AI agents and agentic workflows into engineering teams to improve productivity, automation, and delivery speed. This role is ideal for someone transitioning from a data/software engineering background into AI engineering, with hands-on experience deploying AI capabilities in production.
Key Responsibilities
- Design and implement Agentic AI solutions to enhance SDLC and data migration
- Deploy and manage AI agents across engineering teams
- Work closely with developers to integrate AI-driven workflows
- Contribute to Azure-based data platform build (Fabric, Cosmos, Data Factory)
- Help define best practices for AI-enabled engineering at scale
Required Experience
- Python engineering background
- Experience with Azure AI / AI Foundry
- Hands-on use of Claude or Copilot in production environments
- Proven experience implementing MCP servers
- Background in data engineering or software engineering
- Experience with Microsoft stack: Fabric Cosmos DB Azure Data Factory