IAM AI Architect (Agentic Identity)

Role Overview

We are seeking an experienced IAM AI Architect to lead the design and implementation of next-generation identity solutions for AI-driven environments. This role focuses on “agentic identities”—establishing secure, scalable, and traceable identity frameworks for autonomous and semi-autonomous AI agents operating within enterprise ecosystems. The ideal candidate will bring deep IAM expertise and apply it to emerging AI workflows, bridging traditional identity practices with modern agent-based architectures.

Key Responsibilities

Agentic Identity Architecture

• Design and implement architectures that create and manage unique machine identities for individual AI agents.
• Ensure each AI agent is distinctly identifiable, separate from human users and other agents.
• Enable strong attribution and traceability to determine which agent performed specific actions, even in multi-agent interactions.

Integration of IAM into AI Workflows

• Integrate enterprise IAM solutions into AI and agent-based systems rather than treating IAM as a standalone function.
• Extend traditional IAM principles into AI ecosystems, ensuring consistency in identity governance and access control.
• Identify gaps in current IAM capabilities and design innovative solutions tailored to AI-driven environments.

Identity Ownership, Tracking, and Monitoring

• Develop identity models that clearly associate AI agents with their human owners, ensuring accountability.
• Enable comprehensive observability, including tracking:
  • Existing agents
  • Ownership relationships
  • Agent interactions
  • Actions performed by agents
• Address enterprise challenges related to scalable assignment, tracking, and governance of agent identities.

IAM Technical Leadership (Cloud-Focused)

• Lead architecture and design efforts for IAM solutions in cloud environments, with a primary focus on Azure and additional exposure to AWS.
• Apply deep expertise across enterprise IAM platforms such as Microsoft Entra ID, Okta, SailPoint, and other cloud-based IAM tools.
• Serve as the subject matter expert for AI-focused IAM initiatives within the organization.

Qualifications

• 8–10+ years of hands-on experience in Identity and Access Management.
• Proven experience designing IAM architectures in cloud environments (Azure required; AWS preferred).
• Strong knowledge of enterprise IAM platforms (e.g., Microsoft Entra ID, Okta, SailPoint).
• Experience or strong interest in AI/ML systems, agent-based architectures, or emerging AI ecosystems.
• Demonstrated ability to design innovative solutions beyond out-of-the-box IAM configurations.
• Strong analytical, communication, and leadership skills.

Role Impact

This is a foundational role within a growing team, responsible for establishing enterprise-wide capabilities in AI agent identity management. The position fills a critical gap and will shape how identity is defined, governed, and secured in next-generation AI systems.