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# AI Engineer, Forensic & Financial Crime Technology Advisory and Data Analytics

- **Company:** Deloitte
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Encodings, Information Engineering, Extract Transform Load (ETL), Software Debugging, JSON, Python (Programming Language), NoSQL, Parsing, Queueing Systems, Redis, Regression Testing, Power BI, Search Technologies, TypeScript, Data Logging, Qliksense, Large Language Models, Caching, Generative AI, Git, Event Driven Architecture
- **Published:** September 24, 2026
- **Apply:** https://apply.deloitte.co.uk/UKCareers/Login?jobId=25246

## About the Role

* Proven experience designing and shipping software or AI solutions end to end, comfortable owning both the architecture and the code;
 * Strong system-design skills, able to decompose a problem into front end, back end, APIs, data, caching, memory, async/eventing and logging, and to communicate the design with C4/sequence diagrams;
 * Hands-on experience building LLM/GenAI applications: RAG, tool use, orchestration and (ideally) multi-agent patterns, and a clear view on when NOT to use them;
 * Practical prompt engineering for production, using structured outputs (JSON schema) and tool/function calling for reliable behaviour;
 * Experience evaluating non-deterministic systems: golden datasets, regression testing and eval frameworks, and using tracing/observability to debug them;
 * Strong coding ability in Python and/or TypeScript, working within Git/PR workflows with automated testing;
 * Data engineering fundamentals: relational, NoSQL and vector stores, and document/ETL pipelines (parsing, chunking, embedding);
 * Fluent, responsible use of AI coding assistants while still testing, debugging and owning the output;
 * Ability to lead a workstream and mentor others, and to communicate complex designs to both technical and non-technical (including senior client) audiences., * Experience redesigning a business process (ideally in financial crime or a regulated domain) around GenAI rather than automating it like-for-like;
 * Familiarity with orchestration and eval tooling such as LangChain/LangGraph, LlamaIndex, Ragas, DeepEval, LangSmith, Langfuse and Azure AI Foundry;
 * Experience with vector search (pgvector, FAISS, Pinecone), Redis and message queues;
 * Document-intelligence experience (Unstructured, PyMuPDF/pdfplumber, Azure Document Intelligence, AWS Textract) and BI/dashboarding (Power BI, Qlik Sense);
 * Experience of working on projects for external clients; and
 * Experience of working in or on projects in regulated industries, particularly financial services.

## Description

Our teams in Forensic and Financial Crime provide proactive advice, transformation and operational support to help clients protect their brand and navigate financial crime risks, including money laundering, fraud and corruption.


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