IDAM Architect

Role & responsibilities Role Overview We are seeking a highly skilled IDAM Architect AI to lead the architecture and governance of AIpowered 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, Mistralbased 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 AIenabled 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 Mistralbased coding assistants Design secure AIassisted 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 Cloudnative architectures Standardize API security, authentication, and authorization mechanisms Drive DevSecOps practices in AIassisted IAM development Continuous Improvement & Innovation Continuously enhance AI architecture patterns and standards Monitor and optimize performance, cost, and security of AI tooling Stay updated with AI and IAM industry trends Lead proofofconcepts (POCs) for new tools and capabilities Leadership & Stakeholder Collaboration Act as a technical thought leader for AI in IAM Collaborate with engineering, security, and compliance teams Mentor teams on secure and effective AI adoption Drive enterprisewide standardization and adoption Governance & Monitoring Define KPIs and metrics for AI tool usage and impact Implement audit, logging, and monitoring frameworks Provide insights on risk, compliance, and productivity improvements Mandatory Skills Strong expertise in Identity & Access Management (IAM/IDAM) Deep knowledge of OAuth 2.0, OpenID Connect (OIDC), SAML 2.0 Handson experience with AI developer tools (e.g., GitHub Copilot, Gemini, Claude) Understanding of LLMs, prompt engineering, and AIassisted workflows Strong background in security architecture and DevSecOps Experience with API security, microservices, and cloud platforms (AWS/Azure/GCP) Proven experience in enterprise architecture and solution design .