Senior Consultant - Applied AI Engineer, TC

Senior Consultant - Applied AI Engineer, TC

Location:

London

Other locations:
Primary Location Only

Date: 9 Apr 2026

Requisition

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

You will 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. This cross‑sector model gives you broad exposure to different regulatory environments, data landscapes and operating models, while building deep engineering capability that transfers across industries.

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

Within EY’s FS, you’ll help leading banks, insurers and capital‑markets firms move from AI experimentation to reliable production adoption — integrating systems with enterprise data, security and governance. You’ll be part of a growing engineering capability shaping AI‑enabled operating models for complex financial institutions.

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. Strengthen your foundations through the Applied AI Engineering Academy while taking on more responsibility for solution shaping and stakeholder engagement.

EY Grade:
Senior Consultant (UK)

• Collaborate with business and technology stakeholders; translate requirements into engineering tasks; support workshops, demos and solution reviews; drive adoption through testing and iteration.
• Design and implement RAG pipelines, agents, microservices and integrations; apply monitoring, evaluation and Responsible AI guardrails.
• Shape MVP scope, backlog and release planning; capture reusable patterns and contribute to shared accelerators.

• Hands‑on LLMs, embeddings, vector databases; retrieval strategies and grounding.
• Data engineering fundamentals (Spark/Databricks; ETL/ELT) and operational handover.
• Consulting behaviours: stakeholder engagement and clear, client‑ready communication.

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

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

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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