AI Engineer (Agentic AI & Data Migration Automation)
Remote | Initial 9-Month Contract | Competitive Rate
Our client is a specialist technology consultancy focused on helping organisations modernise their data and technology landscapes through innovative engineering and AI-led solutions.
As part of a major enterprise data transformation programme, they are seeking two experienced AI Engineers to help accelerate the migration of legacy platforms into a modern data environment using Agentic AI. This is a unique opportunity to join a greenfield capability, working with cutting-edge AI tools to build scalable automation, establish best practices, and deliver measurable improvements in migration speed, quality, and efficiency.
Key Responsibilities
- Design, build, and orchestrate Agentic AI solutions using Claude Code, Copilot, Cursor, LangGraph, or similar technologies.
- Translate migration processes into automated, agent-executable workflows with human-in-the-loop controls.
- Automate data validation, reconciliation, testing, and documentation activities.
- Implement guardrails, observability, logging, tracing, and governance controls for AI solutions.
- Work closely with technical and business stakeholders to drive measurable migration acceleration and cost reduction.
Skills & Experience
- Recent hands-on experience building Agentic AI applications, agents, or automation solutions using tools such as Claude Code, Claude Agent SDK, Copilot, Cursor, LangGraph, or similar frameworks.
- Strong Data Engineering and Data Migration background, including SQL, data profiling, mapping, transformation, validation, and reconciliation.
- Experience delivering legacy-to-modern data migration projects. Exposure to legacy platforms is highly beneficial.
- Strong software engineering fundamentals, including Python, version control, testing, and CI/CD.
- Experience with prompt engineering, RAG, knowledge grounding, and AI workflow orchestration.
- Experience implementing monitoring, tracing, logging, and observability for AI systems.
- Strong communication skills and the ability to work in a collaborative, client-facing environment.
Desirable
- Snowflake, SanLake, dbt, Qlik, Sybase, or Datahub experience.
- Experience with M365 Copilot Agents or Claude Premium Coworker.
- Knowledge of Responsible AI, AI Governance, or Information Governance controls.
- Experience within regulated environments such as financial services or insurance.
This is an excellent opportunity for a mid-level to senior AI Engineer who enjoys combining AI, software engineering, and data migration to solve complex business challenges and deliver measurable impact. If you’re passionate about leveraging Agentic AI to transform enterprise delivery, we’d love to hear from you. Apply now!