Job Summary

EY GDS Cybersecurity is seeking an AI-experienced IAM skilled 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

📌 TC-CS-IAM- AI Architect-Manager (Bengaluru)
🏢 EY
📍 Bengaluru