IAM Solutions Architect

• Define and enforce identity models for seamless agent-to-system and user-to-agent interactions.
• Design and secure managed identities, service principals, and machine identity life cycles.
• Evaluate, deploy, and secure AI systems (LLMs, agents, APIs) with a focus on least-privilege access.
• Partner with AI and IAM teams to validate security models and deployment processes.
• Apply deep knowledge of Azure AD/Entra ID and Active Directory to optimize access control and group design.
• Analyze, recommend, and implement OAuth 2.0 token flows and fine-grained authorization methods.
• Stay current on AI trends and security implications, contributing to best practices and risk mitigation strategies.

Proven IAM expertise with Entra ID/Azure AD (critical), Active Directory (cloud and on-prem), RBAC, access models, and group design.

• Advanced Azure Cloud experience; AWS/GCP is valued but less preferred.
• Strong understanding of non-human identity life cycles, managed identities, and service principals.
• Deep knowledge of authentication and security protocols, including OAuth 2.0 and token flows.
• Exposure to AI concepts and deployments (beyond basic usage), with the ability to discuss terminology, agents, and LLM security.
• Excellent collaboration skills with cross-functional teams.

Preferred Skills

• Experience designing secure AI/ML environments.
• Professional experience with multiple cloud providers.
• Familiarity with emerging AI security frameworks and standards., Word

Career growth in cutting-edge AI security and cloud identity architecture.

• Collaborative, innovation-driven work environment.
• Remote flexibility; no face-to-face interview required.
• Opportunity to influence security for next-generation AI solutions.