At a Glance
- Tasks: Lead the design and delivery of innovative GenAI solutions for clients.
- Company: Join EY, a global leader in building a better working world.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation in the insurance sector.
- Why this job: Make a real impact with cutting-edge AI technology in a collaborative environment.
- Qualifications: Experience in generative AI and strong communication skills required.
The predicted salary is between 72000 - 88000 £ per year.
We are seeking a Manager, AI Architect specializing in generative AI to lead the design and delivery of Gen AI 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 Gen AI 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 Gen AI 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.
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 (Open AI, Anthropic, Google, or open-weight models like Llama/Mistral) and orchestration frameworks (Lang Chain, Llama Index, 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 Gen AI platforms (Azure Open AI, 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 Gen AI 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 Gen AI 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.
Please note; 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 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.
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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Manager - AI Tech Transformation - TC - FS employer: Ernst & Young
EY is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee growth and development. With a commitment to flexible working arrangements and a comprehensive Total Rewards package, employees can tailor their benefits to suit their needs while contributing to cutting-edge cyber security solutions in a rapidly expanding global practice. Join us in London, Manchester, or Scotland, and be part of a team that values collaboration, innovation, and making a meaningful impact in the world of cyber security.
StudySmarter Expert Advice🤫
We think this is how you could land Manager - AI Tech Transformation - TC - FS
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Ernst & Young or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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We think you need these skills to ace Manager - AI Tech Transformation - TC - FS
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Ernst & Young.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Ernst & Young and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Ernst & Young
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Ernst & Young uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
