IAM Security & AI Architect (m/f) - Remote

IAM Security & AI Architect (m/f) - Remote

Posted 2 weeks ago by 1st solution consulting gmbh

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Negotiable
Undetermined
Remote
Remote, UK
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Access Controls Amazon Elastic Container Service Artificial Intelligence Authentications Authorisation (Computing) AWS Identity And Access Management (IAM) Cloud Computing Cloud Technology External Auditing Identity And Access Management Life Cycle Planning Management Pluggable Authentication Module (PAM) SAP Applications Security Assertion Markup Language (SAML) Service Accounts Technical Documentation Workflows

Summary: The IAM Security & AI Architect role focuses on reviewing and designing secure AI security architecture with an emphasis on identity and access management. The position requires extensive experience in IAM and security architecture, particularly in cloud environments. The architect will ensure compliance with security standards while integrating AI services and managing access controls. This is a remote position with a duration of at least six months, starting as soon as possible.

Key Responsibilities:

  • Review, assess, and provide feedback for AI security architecture designs with a focus on identity, authorization, and access boundaries
  • Ensure IAM is secure-by-design and aligned with ECS architectures (eg, zero-trust, least privilege)
  • Design IAM concepts for AI operational services
  • Cloud-based AI services using SAP Business AI, SAP BTP, hyperscaler AI services
  • MLOps pipelines, data platforms, and model life cycle management
  • Integrations between ECS AI services, SAP tools, and external services
  • Deep understanding of technical users, service accounts, authentication mechanisms, SAML, workload identities, and token-based integrations
  • Deep understanding of tool connectors, instances, access levels and authorizations pertaining to Cloud Access Manager (CAM) and the access provisioning workflows
  • Design, configure, and govern CAM AI access controls, ensuring secure and compliant access to AI capabilities, models, services, and data
  • Review and validate CAM AI access setups during security and architecture reviews, identifying gaps, risks, or misconfigurations

Key Skills:

  • 10+ years of experience in IAM, access governance, and security architecture, ideally in complex enterprise or cloud environments
  • Identity life cycle management
  • Access provisioning and de-provisioning
  • Privileged access management (PAM)
  • Segregation of Duties (SoD) concepts
  • AI related audit reviews in User Access Management
  • AI system components (models, agents, training, inference, data dependencies)
  • Hands-on experience designing or securing AI-enabled systems (eg, AI platforms, AI services, agents, data pipelines)
  • Proven experience configuring and managing AI access through CAM for AI
  • Ability to translate security architecture decisions into enforceable CAM AI access configurations, not just conceptual designs
  • Ability to write technical documentation on AI related access entitlements
  • Experience aligning CAM AI access settings with audit, compliance, and regulatory evidence requirements
  • Deep familiarity with AI-related standards and regulations, including: EU AI Act (risk-based AI governance), GDPR and privacy-by-design requirements, Ethical AI and responsible AI principles

Salary (Rate): undetermined

City: undetermined

Country: UK

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

IAM Security & AI Architect (m/f)

Start: ASAP

Duration: 6 months ++

Location: remote

Tasks:

  • Review, assess, and provide feedback for AI security architecture designs with a focus on identity, authorization, and access boundaries
  • Ensure IAM is secure-by-design and aligned with ECS architectures (eg, zero-trust, least privilege).
  • Design IAM concepts for AI operational services
  • Cloud-based AI services using SAP Business AI, SAP BTP, hyperscaler AI services
  • MLOps pipelines, data platforms, and model life cycle management
  • Integrations between ECS AI services, SAP tools, and external services
  • Deep understanding of technical users, service accounts, authentication mechanisms, SAML, workload identities, and token-based integrations.
  • Deep understanding of tool connectors, instances, access levels and authorizations pertaining to Cloud Access Manager (CAM) and the access provisioning workflows.
  • Design, configure, and govern CAM AI access controls, ensuring secure and compliant access to AI capabilities, models, services, and data
  • Review and validate CAM AI access setups during security and architecture reviews, identifying gaps, risks, or misconfigurations.

Skills:

  • 10+ years of experience in IAM, access governance, and security architecture, ideally in complex enterprise or cloud environments.
  • Identity life cycle management
  • Access provisioning and de-provisioning
  • Privileged access management (PAM)
  • Segregation of Duties (SoD) concepts
  • AI related audit reviews in User Access Management.
  • AI system components (models, agents, training, inference, data dependencies)
  • Hands-on experience designing or securing AI-enabled systems (eg, AI platforms, AI services, agents, data pipelines)
  • Proven experience configuring and managing AI access through CAM for AI.
  • Ability to translate security architecture decisions into enforceable CAM AI access configurations, not just conceptual designs.
  • Ability to write technical documentation on AI related access entitlements.
  • Experience aligning CAM AI access settings with audit, compliance, and regulatory evidence requirements.
  • Deep familiarity with AI-related standards and regulations, including:
    • EU AI Act (risk-based AI governance)
    • GDPR and privacy-by-design requirements
    • Ethical AI and responsible AI principles
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