AI & Data - Applied AI Delivery Architect - Senior Manager

• Serve as a trusted technical advisor to EY Partners and C-suite client stakeholders, shaping AI strategies and target architectures aligned to client business priorities, risk appetite, and regulatory context.

• Define and own end-to-end AI solution architectures, including GenAI platforms (RAG, agents, copilots), ML platforms and model lifecycle management, data, integration, and API layers.

• Design AI architectures that meet enterprise standards for security, resilience, auditability, and regulatory compliance, while navigating complex governance and legacy constraints.

• Provide senior-level technical oversight during delivery, escalation, and production stabilisation, and lead the transition of AI solutions from PoV to scaled production, ensuring performance, reliability, and business adoption.

• Embed EY Responsible AI principles into all AI architectures, partnering with Risk, Legal, and Compliance teams to implement governance frameworks, model risk controls, and human oversight mechanisms.

• Ensure AI solutions are auditable and defensible, supporting clients through regulatory discussions and scrutiny from boards, regulators, and external auditors.

• Support client growth and pursuits by shaping solution approaches, contributing to proposals, and demonstrating technical credibility.

• Guide multidisciplinary teams across AI engineers, data scientists, and consultants, establishing best practices, coding standards, and architectural patterns.

• Act as a senior technical leader within EY, shaping standards, mentoring teams, and contributing to the development of AI capabilities and assets.

• Contribute to EY AI accelerators, frameworks, and reference architectures

• Capture reusable patterns and lessons learned across engagements

• Support go-to-market activities and thought leadership

• 7+ years in enterprise technology, architecture, or AI engineering roles

• Proven experience delivering AI/ML or GenAI solutions in production environments

• Advanced LLM/RAG engineering: prompt pipelines, embeddings, vector stores (FAISS/Milvus/Pinecone), hybrid retrieval, grounding, hallucination mitigation and evaluation frameworks.

• Experience working in consulting, advisory, or large enterprise delivery contexts

• Demonstrated success engaging with senior client stakeholders

• Strong hand s  son experience with LLMs, prompt engineering, RAG architectures, AI orchestration, machine learning pipelines and model lifecycle management in enterprise environments

• Experience with data platforms, APIs, and distributed systems

• Experience designing architectures on at least one major cloud platform (Azure-preferred, AWS,   GCP)

• Demonstrated ability to lead multi‑disciplinary teams (engineering, data science, architecture, product, design) through complex delivery cycles.

• Experience in regulated industries (Financial Services, Public Sector, Health, Energy)

• Familiarity with AI governance frameworks and model risk management practices

• Prior experience within a Big 4 or global consultancy

• Experience building or scaling AI platforms or internal developer ecosystems

• Experience leading technical discovery sessions with business stakeholders and engineering teams to define technology and hardware infrastructure requirements.

We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings, and a wide range of discounts, offers and promotions. Plus, we offer:

• Support and coaching from some of the most engaging colleagues around

• Opportunities to develop new skills and progress your career.

• The freedom and flexibility to handle your role in a way that’s right for you.

All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include:

• Pension

• Maternity & Paternity leave

• Discounted health insurance

• Bike to work Scheme

• Web Doctor - Free unlimited online GP consultations for you and your family

• Recognition Awards

• The purchase of additional annual leave

• Cash incentives for referrals

• Hybrid Working

• Work Mobile

• Free Gym membership

• TECH MBA paid by EY

• Travel Pass

• Wellness rooms Available in some offices

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

• When you join EY, you will be supported to ensure that you are enhancing your skills from day one.

• Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.

• As you grow and develop here, you’ll discover opportunities to help customise your career journey, so that it’s as unique as you are - success is defined by you, we will provide the tools and flexibility, so you can make a meaningful impact, your way.

• Transformative leadership, we will give you the insights, coaching and confidence to be the leader the world needs.

• Diverse and inclusive culture, you will be embraced for who you are and empowered to use your voice to help others find theirs.

• We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees.