AI Architect and Manager - Identity and Access Management (IAM) Cybersecurity

TC-CS-IAM- AI Architect-Manager

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
• Good understanding of IAM fundamentals (identity lifecycle, governance, provisioning)

 

Preferred Skills:

• Consulting and client advisory experience
• Experience leading PoCs, MVPs, and enterprise implementations
• Strong presentation and stakeholder engagement skills

 

What We Offer You

Continuous learning, exposure to cutting-edge AI and cybersecurity initiatives, a flexible and inclusive workplace, competitive benefits, and the opportunity to shape the future of intelligent identity solutions.

 

Our Commitment

EY is committed to building an equitable and inclusive workplace and is an equal opportunity employer.

 

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.

Experience Level

Senior Level