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About the role
Role & responsibilities Role Overview We are seeking a highly skilled IDAM Architect AI to lead the architecture and governance of AI-powered developer tooling within Identity & Access Management (IAM) ecosystems. This role will own the design, engineering standards, and reusable integration patterns for AI copilots and tools used by IAM teams. You will ensure that AI tools (e.g., GitHub Copilot, Gemini, Claude, Mistral-based solutions) are implemented securely, consistently, and efficiently, while continuously evolving frameworks in response to emerging risks, platform updates, and engineering needs. Key Responsibilities Architecture & Strategy Define and own the architecture for AI-enabled IAM development ecosystems Establish engineering standards, governance models, and best practices Design scalable and reusable integration patterns for AI tooling across IAM platforms Align AI initiatives with enterprise architecture and security strategy AI Tooling & Copilot Enablement Lead adoption and governance of AI tools such as: GitHub Copilot Google Gemini Claude Mistral-based coding assistants Design secure AI-assisted development workflows Build frameworks and guardrails for LLM usage within IAM teams Evaluate and onboard emerging AI developer tools Security & Risk Management Ensure secure usage of AI tools, including protection of: Sensitive identity data (PII, credentials, tokens) Source code and proprietary logic Define controls for prompt security, data leakage prevention, and model risks Conduct threat modeling and risk assessments for AI integrations Ensure compliance with enterprise security policies and standards Integration & Engineering Excellence Develop reusable integration patterns for: IAM platforms (Okta, Azure AD, Ping, ForgeRock) APIs and microservices Cloud-native architectures Standardize API security, authentication, and authorization mechanisms Drive DevSecOps practices in AI-assisted IAM deve .
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