Description

Design and enforce identity, authentication, and authorization frameworks for AI/ML workloads and enterprise systems.

This role is hybrid.

Responsibilities

• Design security architectures for AI platforms, including model hosting, inference endpoints, and agentic systems.
• Implement IAM solutions using Entra ID, Okta, or AWS IAM to manage service identities and least-privilege access.
• Lead threat modeling for AI deployments using OWASP AI Top 10, MITRE ATLAS, and NIST AI RMF.
• Define IAM policies and role-based access controls for cloud platforms (Azure, AWS, GCP) and development environments.
• Collaborate with data science and engineering teams to embed security guardrails into the AI development lifecycle.

Required Skills

• 7+ years in cybersecurity with at least 3 years in security architecture or engineering.
• Hands-on experience with Entra ID / Azure AD, Okta, Ping, or AWS IAM.
• Deep understanding of OAuth 2.0, OIDC, SAML, SCIM, and token-based flows.
• Experience with service identity management, managed identities, and workload identity federation.
• 1-3 years of demonstrated experience with AI/ML security, governance, or engineering.
• Practical understanding of LLM deployment patterns and agentic frameworks like LangChain or LangGraph.
• Knowledge of AI-specific threat vectors including prompt injection, data poisoning, and model inversion.

Preferred Skills

• Experience hardening AI supply chain components such as model registries and API gateways.
• Familiarity with zero-trust principles in hybrid enterprise environments.

Key Skills

Education

Any Graduate