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# IAM Architect

- **Company:** Tata Consultancy Services Limited
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Active Directory, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, User Authentication, Cloud Computing, Data Security, Identity and Access Management, OAuth, OpenID, Role-Based Access Control, Azure Active Directory, Zero Trust Network Access, Security Assertion Markup Language (SAML), Multi-Agent Systems, Machine Learning Operations, Api Management
- **Published:** May 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=773c297a5d4c4dbf

## About the Role

Do you have experience in SSO?, Must Have Technical/Functional Skills

 * Strong understanding of AI/ML systems and architectures

 * 10+ years of experience in IAM and enterprise security architecture

 * Experience designing secure identity models for APIs, services, and automation

## Description

o Identity protocols (SAML, OAuth2, OIDC)
o Active Directory and cloud identity platforms (AWS, Entra ID)

 * Deep knowledge of:

o Privileged Access Management (PAM)
o Identity governance and lifecycle management
Roles & Responsibilities
AI + Identity Architecture

 * Design identity frameworks for AI and agentic systems, including:

o Non-human identity lifecycle (AI agents, service identities, bots)
o Authentication and authorization models for AI workloads
o Secure delegation and impersonation controls

 * Ensure traceability, auditability, and accountability of AI-driven actions

________________________________________
Enterprise IAM Architecture

 * Define and evolve end-to-end IAM architecture across:

o Active Directory
o Cloud platforms (AWS, Microsoft Entra)

 * Architect solutions for:

o Identity lifecycle management
o Access control models (RBAC/ABAC)
o Federation and SSO

 * Align designs with Zero Trust and least privilege principles

________________________________________
AI Security & Governance

 * Establish governance frameworks for AI identity usage

 * Define controls for:

o Model access and data access boundaries
o Privileged access to AI systems
o Secure API and token-based access patterns

 * Partner with security teams to mitigate emerging AI-related identity risks


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