At a Glance
- Tasks: Lead AI solution delivery and guide teams in designing robust architectures.
- Company: Join EY, a leader in engineering-led AI solutions.
- Benefits: Competitive pay, flexible hybrid work, and continuous learning opportunities.
- Other info: Participate in hackathons and innovation challenges for career growth.
- Why this job: Shape the future of AI in a dynamic, inclusive environment.
- Qualifications: Experience in AI engineering and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
Overview As a Forward Deployed Engineer, you will lead the technical delivery of AI-enabled solution threads within client engagements.
You will guide teams in designing robust AI architectures, ensure engineering quality across delivery, and help translate complex business problems into reliable systems operating in production environments.
You will work at the intersection of software engineering, product thinking and client delivery, shaping technical approaches and supporting squads in delivering high-quality solutions.
In this Manager role within the FDE team, you will act as a technical leader within delivery teams, shaping solutions, raising engineering standards and guiding teams to build AI-enabled systems that operate reliably within complex enterprise environments.
What you'll do Client-facing engineering expertise in NLP/CV/transformers and classical ML.
LLM/RAG engineering: embeddings, vector stores (FAISS/Milvus/Pinecone), retrieval strategies, grounding and hallucination mitigation.
LLMOps: prompt pipelines, automated evaluation, telemetry/drift monitoring, model versioning and release management.
Cloud architecture: Azure (preferred) and/or AWS/GCP; Kubernetes/Docker; serverless; IAM and network security.
Data engineering: Spark/Databricks, ETL/ELT; collaboration with platform/data teams to deliver cloud-native data + AI architectures.
Enterprise integration: legacy/Lo B systems; design for reliability/observability (SLIs/SLOs) and operational readiness with runbooks/SRE practices.
Product leadership: discovery facilitation, PRDs, acceptance criteria, prioritisation (RICE/Mo SCo W), value/adoption metrics.
Responsible AI optional governance/model-risk/responsible-AI credentials.
Technical Certifications (preferred): Microsoft Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate; AWS ML Specialty or Google Professional ML Engineer; Databricks (Data Engineer/ML Engineer) and Kubernetes (CKA/CKAD); Azure/AWS Solutions Architect; optional model-risk/responsible-AI governance credentials.
How you work You are hands-on with engineering while setting the technical direction for delivery teams.
You help teams navigate technical trade-offs and ensure solutions meet enterprise standards for reliability and security.
You care about quality, operational readiness and long-term maintainability of systems delivered to clients.
Hybrid working and periodic travel to client sites across the UK (and occasionally internationally), discussed based on projects and location.
EY is investing in engineering-led AI at scale.
EY has been selected for the inaugural Frontier Firm AI Initiative - a collaboration between Microsoft and Harvard\'s Digital Data Design Institute - recognising EY\'s leadership in shaping enterprise-grade human-AI operating models.
In parallel, EY is expanding its collaboration with Open AI and Microsoft, bringing advanced AI capabilities to clients through Microsoft\'s secure Azure Open AI Service.
Joining this team means being part of a growing engineering capability focused on building production-grade AI systems for major organisations across sectors.
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.
EOY 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.
EY | Building a better working world.
EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
You will benefit from continuous development through the FDE Academy, opportunities to participate in hackathons and innovation challenges, learning and certification support across cloud, AI and engineering platforms, and competitive compensation and benefits.
Flexible hybrid working arrangements depending on client needs. #J-18808-Ljbffr
