About the role
from listingAt EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Position: GCP AI Senior Manager
Department: Technology Consulting, D&A
Title: AI Architect (GenAI)
Educational qualification: BTech/Masters/PhD
Role Overview
We are looking for a Senior Manager – GenAI Architect with 14+ years of experience to own the end‑to‑end solution architecture of enterprise GenAI platforms. This role is heavily focused on solution design, PoC & MVP creation, architectural decision‑making, and production-grade implementation, while guiding teams and stakeholders from idea to scalable delivery.
You will act as the technical authority for GenAI, driving architectural excellence, evaluation strategies, and framework selection across enterprise use cases.
Key Responsibilities
Own end‑to‑end GenAI solution architecture, covering ideation, feasibility analysis, PoC execution, MVP design, and production‑ready implementation.
Lead solution design and architecture workshops, translating complex business problems into scalable and secure GenAI architectures.
Design, implement, and validate PoCs and MVPs to assess technical feasibility, architectural choices, cost-performance trade‑offs, and enterprise fit.
Define and standardize enterprise GenAI reference architectures for chatbots, copilots, analytics assistants, and workflow automation use cases.
Architect advanced RAG pipelines, including chunking strategies, retrieval methods, embedding optimization, reranking, and grounding techniques.
Drive prompt engineering standards across solutions, including system prompt design, instruction tuning, reasoning control, and consistency guidelines.
Define and govern prompt evaluation frameworks, covering correctness, faithfulness, hallucination reduction, determinism, latency, cost efficiency, and regression management.
Lead architectural decisions around Chain‑of‑Thought (CoT), structured reasoning, and explainability strategies.
Architect and review agentic AI systems using LangChain, LangGraph, and custom orchestration layers, including multi‑agent coordination, tool usage, memory, routing, and fallback patterns.
Own framework and technology evaluation, selecting appropriate GenAI frameworks based on scalability, reliability, observability, and enterprise constraints.
Design scalable and secure FastAPI‑based service architectures to expose GenAI capabilities across enterprise platforms.
Define enterprise security architecture, including JWT‑based authentication, authorization, data access controls, and LLM data protection.
Lead AWS cloud architecture for GenAI workloads, ensuring scalability, reliability, cost optimization, and secure deployments.
Architect and guide usage of DynamoDB, defining access patterns, performance optimization, and cost‑efficient designs.
Define vector database architecture, embedding lifecycle management, similarity tuning, and retrieval performance optimization.
Own LLM platform and model strategy, including evaluation and usage of AWS Bedrock and Azure OpenAI based on cost, latency, security, compliance, and roadmap alignment.
Establish LLMOps practices, including prompt versioning, model versioning, evaluation pipelines, deployment strategies, monitoring, rollback mechanisms, and operational governance.
Design observability and evaluation strategies for GenAI systems, covering logging, tracing, prompt metrics, retrieval metrics, agent behavior, and cost monitoring.
Define and enforce guardrails and responsible AI practices to minimize hallucinations, prevent data leakage, and ensure compliant and safe GenAI behavior.
Review and guide engineering teams through architecture reviews, PoC sign‑offs, MVP readiness, and production certification.
Mentor senior engineers, architects, and managers on GenAI architecture, system design, and enterprise delivery best practices.
Act as a trusted technical advisor to leadership, providing clarity on feasibility, risks, timelines, and GenAI adoption strategy.
Mandatory Skills
14+ years of experience in software engineering, solution architecture, or AI platform design
5 years of GCP
Strong expertise in Python Object‑Oriented Programming
Deep hands‑on experience with RAG architectures, chunking strategies, retrieval optimization, CoT, and guardrails
Advanced Prompt Engineering and prompt evaluation methodologies
Strong experience with Agentic AI frameworks (LangChain, LangGraph)
Expertise in FastAPI and API‑led enterprise architecture
Strong AWS architecture experience, including DynamoDB
Secure system design using JWT authentication
Deep understanding of vector databases and embedding optimization
Hands‑on experience with AWS Bedrock and Azure OpenAI
Strong knowledge of LLMOps, including evaluation pipelines, deployment, monitoring, versioning, and governance of GenAI systems
Good to Have
Experience with enterprise chatbot, copilot, or analytics‑driven GenAI platforms
Exposure to compliance‑heavy or regulated enterprise environments
Thought leadership in GenAI architecture, governance, or AI platform strategy
Experience in Insurance domain
What we are looking for
Strong architectural ownership with a builder’s mindset
Proven ability to convert ambiguous ideas into working PoCs and MVPs
Deep understanding of GenAI reliability, evaluation, and operationalization (LLMOps)
Ability to balance innovation, cost, performance, and enterprise risk
Strong stakeholder communication and technical influence
Vision to scale GenAI solutions from experimentation to enterprise platforms
What we offer
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines.
In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.
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.
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