AI Governance & Security Architect

AI Governance & Security Architect

Posted 2 days ago by EmployVision

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Negotiable
Undetermined
Remote
Remote
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Amazon Web Services (AWS) Artificial Intelligence AWS SageMaker Cloud Computing Cloud Technology Computer Science Cyber Incident Response Cyber Security Data Encryption Data Protection Strategy Data Science Embedding Encryption Enterprise Architecture Google Cloud Google Cloud Platform (GCP) Lifecycle Management Management Microsoft Azure Open Web Application Security Project (OWASP) Predictive Modeling Product Design Risk Management Framework Stakeholder Management Threat Modeling

Summary: The AI Governance & Security Architect role focuses on embedding security practices within AI product design and implementation. The position requires collaboration across business units, acting as a subject matter expert, and shaping governance frameworks for ethical AI use. The architect will oversee AI solution deployments and conduct security assessments while mentoring team members on best practices. This role demands a strong understanding of AI/ML lifecycle management and compliance with industry standards.

Key Responsibilities:

  • Collaborate and Influence: Build strong partnerships across business units to ensure security is embedded from design through implementation in products and services.
  • Be the Expert: Act as a trusted advisor and subject matter expert across security domains, guiding stakeholders on best practices.
  • Shape Governance: Define and implement enterprise-wide AI governance frameworks that promote ethical, secure, and compliant AI use.
  • Set Standards: Develop and enforce AI security standards aligned with regulatory and industry benchmarks (ISO 42001, NIST AI RMF, SANS, CSA, OWASP).
  • Secure Deployments: Oversee AI/ML solution deployment in on-premises and cloud environments (AWS, Azure, Google Cloud Platform) with robust data protection and encryption.
  • Assess and Test: Conduct AI security risk assessments, threat modeling, and red team exercises for generative and predictive models.
  • Respond and Remediate: Support AI security incident response and ensure effective remediation processes.
  • Educate and Mentor: Provide guidance on AI governance, compliance, privacy, and ethical AI adoption; mentor team members on best practices.

Key Skills:

  • A collaborative mindset and a passion for learning.
  • Bachelor's degree in computer science, Cybersecurity, Data Science, or related field, plus 7+ years of experience in enterprise architecture, information security, or technology governance (or equivalent experience).
  • Proven success implementing governance frameworks, risk strategies, and compliance programs for emerging technologies.
  • Deep understanding of AI/ML lifecycle management, from development to monitoring.
  • Experience working with auditors, regulators, and compliance teams.
  • Proficiency in cloud-native AI/ML platforms (AWS SageMaker, Bedrock, Azure AI, Google Cloud Platform Vertex).
  • Familiarity with security frameworks (NIST, ISO 27001, ISO 42001, CIS Controls).
  • Strong communication skills and ability to engage with stakeholders at all levels.
  • Ability to work independently in a fast-paced environment while fostering collaboration and creative problem-solving.
  • Leadership skills to mentor and guide team members effectively.

Salary (Rate): £90

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Responsibilities:

  • Collaborate and Influence: Build strong partnerships across business units to ensure security is embedded from design through implementation in products and services.
  • Be the Expert: Act as a trusted advisor and subject matter expert across security domains, guiding stakeholders on best practices.
  • Shape Governance: Define and implement enterprise-wide AI governance frameworks that promote ethical, secure, and compliant AI use.
  • Set Standards: Develop and enforce AI security standards aligned with regulatory and industry benchmarks (ISO 42001, NIST AI RMF, SANS, CSA, OWASP).
  • Secure Deployments: Oversee AI/ML solution deployment in on-premises and cloud environments (AWS, Azure, Google Cloud Platform) with robust data protection and encryption.
  • Assess and Test: Conduct AI security risk assessments, threat modeling, and red team exercises for generative and predictive models.
  • Respond and Remediate: Support AI security incident response and ensure effective remediation processes.
  • Educate and Mentor: Provide guidance on AI governance, compliance, privacy, and ethical AI adoption; mentor team members on best practices.

Qualifications:

  • A collaborative mindset and a passion for learning.
  • Bachelor s degree in computer science, Cybersecurity, Data Science, or related field, plus 7+ years of experience in enterprise architecture, information security, or technology governance (or equivalent experience).
  • Proven success implementing governance frameworks, risk strategies, and compliance programs for emerging technologies.
  • Deep understanding of AI/ML lifecycle management, from development to monitoring.
  • Experience working with auditors, regulators, and compliance teams.
  • Proficiency in cloud-native AI/ML platforms (AWS SageMaker, Bedrock, Azure AI, Google Cloud Platform Vertex).
  • Familiarity with security frameworks (NIST, ISO 27001, ISO 42001, CIS Controls).
  • Strong communication skills and ability to engage with stakeholders at all levels.
  • Ability to work independently in a fast-paced environment while fostering collaboration and creative problem-solving.
  • Leadership skills to mentor and guide team members effectively.
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