The Job

Solution Architecture IC5

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science

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In short

The Frontier Transformation team seeks a Frontier Trust & Governance expert to design and operationalize AI governance frameworks, policies, and control systems for safe, ethical, and enterprise-scale AI operations. This role involves advising customers on governance maturity, implementing operating models, and establishing assurance capabilities, ensuring innovation velocity is balanced with responsible AI and compliance.

Responsibilities

  • Assess governance and security maturity, identify capability gaps, and develop governance transformation roadmaps.
  • Advise customers on governance maturity progression from foundational AI governance through autonomous and ecosystem-scale governance.
  • Design the AI Governance Operating Model including governance forums, stakeholder structures, decision rights, accountability models, and executive oversight mechanisms.
  • Define and implement ownership, stewardship, data access, human-in-the-loop, escalation, and accountability models for AI and agent solutions.
  • Establish Responsible AI, risk, security, privacy, and compliance frameworks, including policies, standards, control requirements, and governance guardrails.
  • Design and operationalize AI and agent governance across the solution lifecycle, including intake, assessment, approval, deployment, runtime monitoring, change management, retirement, and ongoing oversight.
  • Establish governance observability and assurance capabilities, including governance metrics, executive reporting, auditability, compliance evidence, risk monitoring, and continuous assurance mechanisms.
  • Leverage Microsoft security, compliance, identity, governance, and AI management platforms to operationalize governance capabilities and control structures.
  • Partner with customer executives, risk, compliance, legal, security, and business stakeholders to stand up governance councils, manage emerging regulatory requirements, and address evolving challenges associated with AI and autonomous systems.
  • Transfer knowledge and skills to customer risk and compliance teams for autonomous governance ownership post-engagement.

Requirements

  • Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years of experience in technology solutions, practice development, architecture, consulting, or technology domain (e.g., Security). OR Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years of experience in technology solutions, practice development, architecture, consulting, or technology domain (e.g., Security). OR equivalent experience.
  • 2+ years managing multiple projects or portfolios.
  • 1+ year(s) experience leading blended, multidisciplinary teams.
  • Experience with AI/ML governance frameworks and Responsible AI programs.
  • Background in regulated industries such as Financial Services, Healthcare, or Government.
  • Knowledge of major AI governance and compliance frameworks (e.g., NIST AI RMF, EU AI Act, Microsoft Responsible AI Standard).
  • Hands-on knowledge of Microsoft Agent 365, Entra, Purview, Defender, and Azure security and compliance tooling.
  • Experience governing AI agents, Copilots, and autonomous systems at enterprise scale.
  • Experience working with regulators, auditors, governance councils, and executive oversight bodies to operationalize AI governance and compliance.
  • Experience transferring governance practice and tooling to a client's own risk and compliance function.
  • Proven experience designing and operationalizing enterprise-scale AI governance, security, risk, and compliance capabilities, including governance operating models, accountability frameworks, and executive oversight structures for technology transformation initiatives.
  • Deep understanding of AI, agentic AI, and autonomous system risks, including model, data, identity, security, privacy, compliance, resilience, and Responsible AI considerations.
  • Experience balancing innovation velocity with appropriate governance and organizational risk tolerance.
  • Experience designing governance and security guardrails for AI solutions, including identity and access management, data protection, threat protection, monitoring, auditability, and policy enforcement.
  • Executive communication skills, including board-level risk reporting.
  • Experience leading cross-functional governance programmes involving business, legal, compliance, security, technology, and executive stakeholders.
  • Ability to work directly with senior stakeholders to define policy and operationalize controls.
  • Experience defining governance operating models, decision-rights frameworks, ownership structures, governance councils, and executive reporting mechanisms.
  • Executive presence and stakeholder influence, with the credibility to advise C-level, risk, security, legal, and business leaders and align them on governance, security, and AI strategy.
  • Ability to translate complex AI risks, options, and trade-offs into concise executive briefings, decision papers, and points of view that enable informed decisions.
#AI#Governance#Security#Compliance#Risk Management#Transformation#Consulting#Solution Architecture#Autonomous Systems#Responsible AI
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Company

Microsoft

Job Posted

3 weeks ago

Employment Type

Full Time

WorkMode

Remote

Experience Level

Senior

Locations

Canada

Qualification

Master, Bachelor

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