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EY

IAM Architect – Manager

EY

AI Architect Manager at EY driving AI initiatives within Identity and Access Management. Leading architectural strategies and multi-cloud AI solutions leveraging advanced technologies.

Posted 7/15/2026full-timeRemote • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in architecting multi-cloud AI solutions, with a strong focus on Python-based microservices development and AI orchestration. Proficient in designing end-to-end AI-enabled IAM workflows and integrating advanced analytics with identity management.

Highest-signal resume keywords
AI ArchitecturePython DevelopmentMicroservices DesignIAM FundamentalsMulti-Cloud Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI ArchitecturePythonMicroservicesAPI IntegrationLLMsRAGAgentic AIServerless ComponentsIAM AutomationREST/SCIM
Soft Skills
LeadershipClient EngagementWorkshop Facilitation
Tools & Technologies
Azure AIAzure OpenAIAWS BedrockFastAPIFlaskLangChainLangGraphAutoGenLlamaIndexSemantic Kernel
Industry Keywords
Intelligent AutomationAdvanced AnalyticsIdentity LifecycleGovernanceProvisioning

Tech Stack

Tools & technologies
AWSAzureCloudFlaskMicroservicesPython

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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)

Benefits

Comp & perks
  • Continuous learning
  • Exposure to cutting-edge AI and cybersecurity initiatives
  • Flexible and inclusive workplace
  • Competitive benefits
  • Opportunity to shape the future of intelligent identity solutions.