IDAM Architect - AI - Identity & Access Management

Job Role: IDAM Architect - AI

Contract Duration: 6 months

Location: London / Sheffield (Hybrid - 3 days on site)

Daily Rate: Inside IR35

Job Summary:

We are seeking a highly skilled IDAM Architect to own the architecture, engineering standards, and reusable integration patterns for AI developer tooling and copilots utilized by Identity & Access Management (IAM) teams. This includes tools such as Mistral Code, Copilot, Gemini, and ClawdBot. The role is responsible for ensuring these AI tools are implemented securely, consistently, and efficiently, while continuously maintaining and enhancing the integration patterns in response to evolving platforms, risks, and engineering requirements.

Key Responsibilities:

• Own and define architecture and engineering standards for AI developer tooling and copilots used by IAM teams.
  
• Develop and maintain reusable integration patterns to ensure secure, consistent, and efficient implementation of AI tools like Mistral Code, Copilot, Gemini, and ClawdBot.
  
• Collaborate with IAM, security, and engineering teams to align tooling implementations with organisational security and compliance requirements.
  
• Continuously monitor and improve integration patterns to adapt to changes in platforms, emerging risks, and evolving engineering needs.
  
• Provide technical leadership and guidance on AI tooling architecture and best practices.
  
• Ensure that AI developer tools support IAM workflows effectively while maintaining security and operational resilience.
  
• Stay current with advancements in AI developer tools and IAM technologies to inform architecture evolution.
  

Required Qualifications and Skills:

• Extensive experience in Identity & Access Management architecture and engineering.
  
• Strong knowledge of AI developer tools and copilots such as Mistral Code, Copilot, Gemini, and ClawdBot.
  
• Proven ability to define and enforce architecture and engineering standards.
  
• Experience designing reusable integration patterns and frameworks.
  
• Deep understanding of secure implementation practices and compliance requirements.
  
• Excellent collaboration and communication skills to work across IAM, security, and engineering teams.
  

Preferred Qualifications:

• Experience in financial services or other regulated industries.
  
• Familiarity with AI ethics, responsible AI, and risk management in tooling implementations.
  
• Hands-on experience with evolving AI platforms and developer ecosystems.
  

Soft Skills:

• Strategic and forward-thinking mindset.
  
• Strong leadership and stakeholder management capabilities.
  
• Detail-oriented with a focus on security, efficiency, and continuous improvement.
  

Additional Information:

• This is a hybrid role requiring 3 days per week onsite in London or Sheffield.
  
• The contract is inside IR35.
  
• Opportunity to lead the secure and efficient integration of AI developer tooling within IAM in a leading financial services organisation.