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Senior Consultant - Applied AI Engineer, TC

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: EY UK
Full Time position
Listed on 2026-06-01
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Senior Consultant – Applied AI Engineer

Work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production‑grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations.

Location

London / Manchester / Birmingham / Edinburgh/ Belfast – Hybrid with client‑site travel

Contract

Permanent, full‑time

Why EY — and why FS

Within EY’s FS, help leading banks, insurers and capital‑market firms move from AI experimentation to reliable production adoption, integrating systems with enterprise data, security and governance.

Role purpose

Operate as a hands‑on engineer within a squad, taking ownership of defined components and delivering AI capabilities (e.g., agents, RAG pipelines) that meet enterprise standards for reliability, security and observability.

What you’ll do

Client‑facing engineering & delivery

  • Collaborate with business and technology stakeholders; translate requirements into engineering tasks; support workshops, demos and solution reviews; drive adoption through testing and iteration.

Solution design & implementation

  • Design and implement RAG pipelines, agents, microservices and integrations; apply monitoring, evaluation and Responsible AI guardrails.

Product mindset & continuous improvement

  • Shape MVP scope, backlog and release planning; capture reusable patterns and contribute to shared accelerators.
What we’re looking for

Essential

  • Strong Python/Type Script; async patterns; API design; testing/CI; microservice fundamentals.
  • Hands‑on LLMs, embeddings, vector databases; retrieval strategies and grounding.
  • Cloud engineering (Azure preferred), Docker/Kubernetes, serverless; secure networking/IAM.
  • Data engineering fundamentals (Spark/Databricks; ETL/ELT) and operational handover.
  • Consulting behaviours: stakeholder engagement and clear, client‑ready communication.

Nice to have

  • Document/graph stores; streaming (Event Hub/Kafka); cloud architecture exposure and governance credentials.
Travel & working model

Hybrid with periodic client travel across the UK (and occasional international travel).

What we offer you

At EY, we’ll develop future‑focused skills and provide world‑class experiences in a flexible, inclusive culture.

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Position Requirements
10+ Years work experience
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