Manager - AI Tech Transformation - TC - FS

EY; Greater London; On-site; GBP 100,000 - 140,000; Full time

Benefits offered by this job

Continuous learning

Flexible working

Leadership coaching

Diverse and inclusive culture

Job summary

EY is seeking a Manager, AI Architect specializing in generative AI to lead GenAI design and delivery for clients. This hands‑on role combines architecture ownership with small‑team leadership and production‑grade delivery across insurance domains.

You will guide technical decisions, communicate with stakeholders, and mentor junior engineers. The position emphasizes responsible AI, governance, and integration with core platforms.

Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
• Hands‑on delivery of enterprise GenAI initiatives and production systems.
• Hands‑on experience with LLMs (OpenAI, Anthropic, Google, or open weights) and orchestration frameworks.
• Practical expertise in RAG design, embeddings, and vector databases.
• Experience with agentic architectures, function/tool calling, and structured outputs.
• Strong prompt engineering, evaluation, and LLM guardrail/safety experience.
• Experience with cloud GenAI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI).

Responsibilities

• Own the architecture and technical delivery of a GenAI solution area or workstream, from design through production rollout.
• Lead a small cross‑functional delivery team (engineers, data specialists) through the delivery lifecycle.
• Ensure solutions are scalable, secure, resilient, and cost‑aware in production.
• Manage delivery execution: architecture decisions, risks, dependencies, quality checks, and blockers.
• Apply engineering standards, reusable frameworks, and accelerators to improve delivery quality and speed.
• Take accountability for delivery quality, timelines, and outcomes within your workstream.

Skills

GenAI

Cloud architectures

LLM orchestration

Stakeholder communication

Education

Bachelor's or Master's in CS/Engineering

Tools

LangChain

LlamaIndex

Semantic Kernel

Azure OpenAI

Pinecone

Weaviate

pgvector

Job description

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.

The opportunity

We are seeking a Manager, AI Architect specializing in generative AI to lead the design and delivery of GenAI solutions for our clients. This is a hands‑on delivery and technical management role: you will own the architecture of a defined solution area or workstream, lead a small delivery team, and ensure your solutions run reliably in production. You will work closely with client teams and communicate technical decisions clearly to project stakeholders.

Your Key Responsibilities

Design and Delivery of Engagements

• Own the architecture and technical delivery of a GenAI solution area or workstream, from design through production rollout.
• Lead a small cross‑functional delivery team (engineers, data specialists) through the delivery lifecycle.
• Ensure solutions are scalable, secure, resilient, and cost‑aware in production.
• Manage delivery execution: architecture decisions within scope, technical risks, dependencies, quality checks, and blocker resolution.
• Apply engineering standards, reusable frameworks, and accelerators to improve delivery quality and speed.
• Take accountability for delivery quality, timelines, and outcomes within your workstream.

Technical Direction

• Design generative AI solutions: LLM selection, RAG pipelines, prompt orchestration, agentic workflows, and integration.
• Build solutions for insurance use cases (claims intake automation, submission triage, document intelligence, underwriting copilots, policy Q&A, contact‑center copilots).
• Design and tune RAG systems: chunking, embeddings, vector stores, retrieval tuning, and grounding to reduce hallucination.
• Implement multi‑agent and tool‑calling workflows that automate insurance processes.
• Apply LLMOps and quality practices: prompt engineering, evaluation, guardrails, monitoring, versioning, and cost/latency optimization.
• Apply responsible AI practices: hallucination controls, PII handling, bias mitigation, explainability, and compliance (NAIC, GDPR, EU AI Act).
• Support integration with core insurance platforms (Guidewire, Duck Creek, Sapiens) and enterprise data/content systems.

Leadership & Communication

• Act as a technical point of contact and advisor to client project stakeholders.
• Translate GenAI concepts, tradeoffs, and risks into clear explanations for technical and business audiences.
• Prepare and deliver clear presentations and demos to project stakeholders.
• Coordinate across business, IT, and compliance stakeholders on solution decisions.
• Guide and mentor junior engineers and consultants; help uphold technical standards.

Skills And Attributes For Success

• Hands‑on ownership of solution design and delivery.
• Clear communication with technical and business stakeholders.
• A collaborative, mentoring mindset with a small team.
• Outcome‑focused and quality‑driven.

To qualify for the role;

• Bachelor's or Master's in Computer Science, Engineering, or a related field.
• Experience in technology, including hands‑on delivery of enterprise solutions and delivering production generative AI initiatives.
• Hands‑on experience delivering production‑grade systems.
• Hands‑on experience with LLMs (OpenAI, Anthropic, Google, or open‑weight models like Llama/Mistral) and orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent).
• Practical expertise in RAG design, embeddings, and vector databases (Pinecone, Weaviate, pgvector, Azure AI Search).
• Experience with agentic architectures, function/tool calling, and structured outputs.
• Solid prompt engineering, evaluation, and LLM guardrail/safety experience.
• Experience with cloud GenAI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) and LLMOps tooling.
• Good understanding of system design, API design, integration patterns, and secure handling of sensitive data.
• Working knowledge of responsible AI and model governance.
• Strong communication skills, able to explain complex concepts clearly.

The following will be an advantage;

• Experience delivering GenAI or AI/ML solutions in insurance or financial services.
• Familiarity with insurance core platforms (Guidewire, Duck Creek, Sapiens) and document‑heavy workflows (ACORD forms, loss runs, policy documents).
• Experience taking GenAI solutions from proof‑of‑concept toward production.
• Relevant cloud or AI certifications.

What We Look For

We are seeking tech professionals, with good knowledge of DLT and digital assets processes and products, to join our growing team to build our business and support our clients build more resilient, efficient and profitable businesses.

We are looking for experienced and enthusiastic team members to drive delivery of client engagements and to develop new solutions and market insights to drive revenue growth.

What We Offer

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

The Exceptional EY Experience. It’s Yours To Build.

Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. Read more about our commitment to diversity& inclusiveness here . We ask because it matters!

EY | Building a better working world

EY exists to build a better working world, helping to create long‑term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.