IDAM Architect - Ai

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 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 proof-of-concepts (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 enterprise-wide 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
  
• Hands-on experience with AI developer tools (e.g., GitHub Copilot, Gemini, Claude)
  
• Understanding of LLMs, prompt engineering, and AI-assisted 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