AI Migration Engineer

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We’re currently seeking an experienced professional to join our team in the role of AI Migration Engineer.

AI is reshaping how regulated organisations run and evidence controls and Risk and Compliance is no exception. This role focuses on simplifying and re-engineering Risk & Compliance processes end to end then rebuilding them as governed agentic AI workflows running in production. You’ll work closely with process owners to map current-state journeys and design target-state workflows that make clear where humans stay in the loop. Success means safer faster processes with measurable improvements in cycle time error rate and cost and with documentation that stands up to audit and regulatory scrutiny. You’ll also contribute reusable patterns and shared components across the Chief AI Officer function in Risk & Compliance.

Principal responsibilities

• Map Risk & Compliance processes end to end with process owners including inputs hand-offs data lineage controls and exceptions
• Simplify processes before automation by removing redundant steps duplicate controls manual reconciliations and rework loops
• Re-engineer target processes around agentic patterns with explicit human-in-the-loop decisions and control points
• Build and integrate agentic workflows using LLMs tool calling and MCP connecting to Risk & Compliance systems data platforms and document stores
• Implement retrieval patterns including RAG GraphRAG and hybrid search grounded in Risk & Compliance policy regulatory and risk data
• Replace or wrap legacy components such as spreadsheets macros scripts and EUCs with maintainable version-controlled code
• Build evaluation harnesses for accuracy faithfulness robustness and regression using golden datasets agreed with the business
• Embed controls and deploy via LLMOps pipelines with monitoring for drift quality cost and latency plus parallel runs cutover and rollback plans

Requirements

• Bring substantial hands-on experience in software data or ML engineering including proven delivery of LLM-based applications into production
• Demonstrate strong Python engineering with experience across APIs containers CI/CD and cloud platforms such as Azure GCP or AWS
• Build RAG pipelines and retrieval approaches including vector and hybrid search and apply agent orchestration frameworks in production settings
• Create evaluation and monitoring approaches that cover accuracy faithfulness robustness regression drift quality and guardrails
• Show proven depth in at least one of these areas with working knowledge across the others - skills and monitoring or orchestration and MCP or tools refactoring or deployment and GUI
• Apply strong engineering practice including automated testing code review Git and reliable CI/CD ways of working
• Handle data confidently across structured and unstructured sources including documents PDFs and emails with strong SQL capability
• Deliver within a regulated environment with experience evidencing controls for audit and regulators and working within model risk data protection and change governance

Candidate with less relevant experience or skills may be offered a lower Global Carrer Band than stated above.

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.

You’ll achieve more when you join HSBC.

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