Consultant, AI Engineer TC FS 1
Location: London
Other locations: Primary Location Only
Salary: Competitive
Date: 9 Apr 2026
Job description
Requisition ID:
Job Title: Forward Deployed Engineer
EY Grade: Consultant (UK)
Location: UK (London CP / Manchester / Birmingham / Edinburgh/ Belfast) - Hybrid working with client-site travel as required.
Contract: Permanent, full time
The opportunity
Organisations are moving rapidly from AI experimentation to operational adoption. However, many struggle to translate ideas into secure, scalable and reliable production solutions.
As a Forward Deployed Engineer, you will sit at the intersection of software engineering, product thinking, and client delivery, working within a squad to build real AI powered solutions. You will collaborate with engineers, designers and client teams to turn complex problems into reliable systems.
In this consultant role within the Forward Deployed Engineering team, you will develop foundational AI engineering and product skills within a delivery squad. You will learn how to design, build and integrate LLM/RAG features, contribute to discovery and user stories, and follow EY standards for quality, security and documentation while supporting demos and adoption.
What you'll do
Client facing engineering & delivery
- Support discovery workshops by capturing requirements and helping translate them into user stories and acceptance criteria.
- Support demos, show and tells and feedback cycles; prioritise fixes and enhancements with the squad.
- Work effectively in diverse, multidisciplinary teams and produce client ready artefacts to agreed timelines.
Solution design & implementation
- Build LLM/RAG features and integrations under guidance, contributing clean, tested, maintainable code.
- Follow EY reference architectures, security patterns and evaluation baselines, contributing to documentation and reusable accelerators.
Product mindset & continuous improvement
- Contribute to documentation and reusable components/accelerators that help teams deliver consistently.
- Learn field lessons (what works in client environments) and feed that back through the squad's delivery routines and artefacts.
What we're looking for
Essential skills & experience
- Software engineering fundamentals (algorithms, data structures, APIs, microservice basics).
- Programming in Python and/or TypeScript; exposure to async patterns, testing, and version control (Git).
- LLM/RAG basics: embeddings, prompt design, retrieval patterns; willingness to learn evaluation and guardrails.
- Intro experience with data wrangling for structured and unstructured data; feature engineering fundamentals.
- Cloud fundamentals (Azure preferred); containers (Docker) and CI/CD exposure.
- Understanding of responsible AI principles, privacy and basic model risk concepts; eagerness to learn UK regulatory context (FCA, PRA, GDPR).
- Clear written and verbal communication; ability to operate in client environments and collaborate with security, risk and architecture teams.
- Growth mindset: curiosity, continuous learning, and ability to adapt quickly to new techniques and tools.
Nice to have
- Familiarity with ML concepts (regression, classification, clustering) and deep learning frameworks (PyTorch/TensorFlow).
- Foundational knowledge of data platforms (Spark/Databricks) and event/streaming patterns (e.g., Event Hub/Kafka).
Technical Certifications (preferred)
- Microsoft Azure AI Engineer Associate (AI 102) - in progress or planned.
- Azure Data Scientist Associate - in progress or planned.
- AWS Machine Learning Specialty or Google Professional ML Engineer - welcome.
- Databricks and Kubernetes (CKA/CKAD) - welcome for future development.
How you work
- You're comfortable being hands on: coding, debugging, deploying, and iterating with users.
- You care about quality-but you're pragmatic about what's "good enough" to ship and improve safely, and you're eager to learn from feedback.
- You can communicate clearly with both technical and non technical stakeholders as you build confidence in client settings.
What we offer
High impact work with leading organisations across sectors, within a collaborative engineering led AI team.
You will benefit from:
- A structured FDE Academy and cohort learning experience
- Opportunities to participate in hackathons, innovation challenges and engineering showcases
- Learning and certification support across cloud and AI technologies
- Competitive compensation and benefits
- Flexible hybrid working arrangements depending on client needs
Travel & Working Model
Hybrid working and periodic travel to client sites across the UK (and occasionally internationally), discussed based on projects and location.
Inclusion and accessibility
EY is committed to building an inclusive culture where everyone can thrive. If you require adjustments or support during the recruitment process, we encourage you to let us know.