Senior Consultant – Applied AI Engineer

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.

Location

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

Contract

Permanent, full‑time

Why EY — and why FS

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.

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. 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)

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/TypeScript; 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 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.