AI Architect
Posted 11 Sep 2026
Advertised as “TC-CS-IAM- AI Architect-Manager”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- People management
No salary listed for this role.
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.
Cybersecurity – IAM AI Manager
About EY Global Delivery Services (GDS)
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.
EY Global Delivery Services (GDS) is EY’s worldwide network of service delivery centers. GDS plays a critical role in EY’s growth strategy by providing high-quality, cost-effective services across Assurance, Consulting, Tax, Strategy & Transactions, and Enablement Services.
With over 80,000 professionals across multiple global locations including India, GDS enables seamless collaboration, innovation, and delivery excellence across EY’s global client base.
The Opportunity
EY GDS Cybersecurity is seeking an AI-experienced IAM professional to lead and scale AI initiatives within the Identity and Access Management (IAM) practice. The role will drive architectural strategy for LLM-driven intelligence, Retrieval Augmented Generation (RAG), agentic automation, and AI-enabled orchestration across IAM ecosystems such as SailPoint, Saviynt, Okta, Azure AD, and CyberArk.
Key Responsibilities
- Architect multi-cloud AI solutions leveraging Azure AI, Azure OpenAI, AWS Bedrock, serverless components, microservices, and AI agents
- Design end-to-end AI-enabled IAM workflows integrating identity data, LLMs, RAG pipelines, vector databases, and IAM toolchains
- Lead Python-based microservices development (FastAPI/Flask) for IAM automation and API-driven integrations
- Design AI orchestration using LangChain, LangGraph, AutoGen, LlamaIndex, and Semantic Kernel
- Build autonomous multi-agent systems with reasoning and decision intelligence
- Lead client workshops, PoCs, MVPs, and presales demonstrations
Skills and Attributes for Success
Required Skills:
- 7+ years of experience in AI architecture, intelligent automation, or advanced analytics
- Expertise in LLMs, RAG, agentic AI, and multi-cloud AI architectures (Azure/AWS)
- Strong Python hands-on skills and API integration experience
- Strong understanding of microservices, REST/SCIM integrations, and secure solution design