EY
Senior Manager - AI Architect - AI Tech Transformation - TC - FS
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Senior Manager - AI Architect - AI Tech Transformation - TC
The opportunity
We are seeking a Senior Manager, AI Architect specializing in generative AI to lead the architecture and delivery of complex GenAI engagements for our clients. This is a senior delivery role: you will own the architecture of significant GenAI workstreams and programs, lead delivery teams day to day, and ensure solutions scale reliably in production. You will also translate complex technology into clear, persuasive narratives for senior client stakeholders, making strong communication central to the role.
Your key responsibilities
Delivery of Complex Engagements
- Own the architecture and technical delivery of complex GenAI engagements or major workstreams, from design through production rollout.
- Lead cross-functional delivery teams (architects, engineers, data specialists) across the engagement lifecycle.
- Ensure solutions are enterprise-grade: scalable, secure, resilient, performant, and cost-optimized in production.
- Drive delivery governance: architecture decisions, technical risk management, dependencies, quality gates, and blocker resolution.
- Apply and extend engineering standards, reusable frameworks, and accelerators to improve delivery velocity and consistency.
- Own technical outcomes and accountability for delivery quality, timelines, and measurable business impact within your scope.
Technical Direction
- Define end-to-end generative AI architectures: LLM selection, RAG pipelines, prompt orchestration, agentic workflows, and enterprise integration.
- Architect solutions for high-value insurance use cases (claims intake automation, submission triage, document intelligence, underwriting copilots, policy Q&A, contact-center copilots).
- Design RAG systems at scale: chunking strategies, embeddings, vector stores, retrieval tuning, and grounding to reduce hallucination.
- Design multi-agent and tool-calling workflows that automate complex insurance processes.
- Set LLMOps and quality standards: prompt engineering, evaluation, guardrails, monitoring, versioning, and cost/latency optimization.
- Apply responsible AI governance: hallucination controls, PII handling, bias mitigation, explainability, auditability, and regulatory compliance (NAIC, GDPR, EU AI Act).
- Oversee integration with core insurance platforms (Guidewire, Duck Creek, Sapiens) and enterprise data/content systems.
Leadership & Communication
- Serve as a senior technical authority and trusted advisor to client stakeholders and program leadership.
- Translate complex GenAI concepts, tradeoffs, and risks into clear, persuasive narratives for non-technical and senior audiences.
- Craft and deliver compelling presentations and demos that build client confidence.
- Align diverse stakeholders (business, IT, risk, compliance) around a shared architecture and delivery approach.
- Manage, mentor, and grow a team of architects and GenAI engineers; uphold technical standards and build capability.
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Skills and attributes for success
Skills required
- Strong executive presence; comfortable influencing senior client stakeholders.
- A clear communicator who turns technical complexity into clarity and momentum.
- Hands-on delivery leadership; thrives on owning complex engagements end to end.
- Commercially minded and outcome-focused.
To qualify for the role
- Master's in Computer Science, Engineering, or a related field.
- Experience in technology, with a strong track record delivering complex enterprise programs and 2+ years delivering production generative AI initiatives.
- Demonstrated experience owning architecture and delivery of enterprise-grade systems in production.
- Deep, hands-on experience with LLMs (OpenAI, Anthropic, Google, or open-weight models like Llama/Mistral) and orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent).
- Proven expertise in RAG design, embeddings, and vector databases (Pinecone, Weaviate, pgvector, Azure AI Search).
- 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) and LLMOps tooling.
- Solid understanding of scalable system design, API design, enterprise integration patterns, and secure handling of sensitive data.
- Strong grasp of responsible AI, model governance, and emerging AI regulation.
- Excellent communication and storytelling skills, able to make complex concepts accessible to senior, non-technical audiences.
Desired Criteria
- Experience delivering GenAI solutions in insurance or broader financial services.
- Familiarity with insurance core platforms (Guidewire, Duck Creek, Sapiens) and document-heavy workflows (ACORD forms, loss runs, policy documents).
- Track record scaling GenAI from proof-of-concept to production.
- Relevant cloud or AI certifications (cloud architect, AI/ML specialty, TOGAF).
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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.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
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.
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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