AI Summary
Lead customer workshops to assess AI readiness and guide technical stakeholders on secure AI deployment. Translate Microsoft security and compliance capabilities into actionable recommendations. Advise on secure enablement of generative AI tools.
Key Highlights
Lead customer workshops
Translate Microsoft security and compliance capabilities
Advise on secure enablement of generative AI tools
Key Responsibilities
Lead customer workshops to assess AI readiness from identity, data, and compliance perspectives.
Define and articulate AI governance frameworks covering policy, access, data protection, and risk management.
Translate complex Microsoft security and compliance capabilities into actionable recommendations.
Advise on the secure enablement of generative AI tools such as Microsoft Copilot, Copilot Studio, and Azure AI Foundry.
Design pragmatic approaches for data boundary enforcement, labeling, DLP, and prompt-safety controls.
Review identity and access management for AI workloads—MFA, Conditional Access, privileged identity controls, and just-in-time elevation.
Recommend monitoring, auditing, and incident-response strategies for AI misuse or data leakage.
Present findings and next steps to IT Management stakeholders with clear business and compliance implications.
Technical Skills Required
Benefits & Perks
Remote work
Flexible work arrangement
Wellbeing programs
Nice to Have
Previous consulting or customer-facing experience at a major Microsoft partner.
Familiarity with AI governance frameworks, model risk management, and data-driven decisioning.
Working knowledge of Azure AI, AI Foundry, Microsoft Fabric security and compliance configurations.
Experience in building RACI models, acceptable-use policies, or risk registers for AI or cloud platforms.
Job Description
Secure AI Architect Bilingual English and French
We are looking for a Secure AI Architect with deep expertise across Microsoft’s cloud, security, and AI ecosystems. This consultant will lead short, high-impact customer engagements (typically 1–2 days) to help organizations establish secure, compliant, and well-governed AI foundations.
You will assess current readiness, identify control gaps, and guide technical and management stakeholders on how to safely deploy AI at scale—bridging the disciplines of security architecture, compliance, data governance, and responsible AI.
Key Responsibilities
- Lead customer workshops to assess AI readiness from identity, data, and compliance perspectives.
- Define and articulate AI governance frameworks covering policy, access, data protection, and risk management.
- Translate complex Microsoft security and compliance capabilities (Entra ID, Purview, Defender, M365, Azure AI) into actionable recommendations.
- Advise on the secure enablement of generative AI tools such as Microsoft Copilot, Copilot Studio, and Azure AI Foundry
- Design pragmatic approaches for data boundary enforcement, labeling, DLP, and prompt-safety controls.
- Review identity and access management for AI workloads—MFA, Conditional Access, privileged identity controls, and just-in-time elevation.
- Recommend monitoring, auditing, and incident-response strategies for AI misuse or data leakage.
- Present findings and next steps to IT Management stakeholders with clear business and compliance implications.
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- 5+ years cloud security, compliance, or architecture, ideally in Enterprise Microsoft environments.
- Proven experience advising enterprise customers on secure adoption of M365 & AI workloads (Copilot, Copilot Chat, Copilot Studio, AI Foundry).
- Deep hands-on knowledge of security, governance & management on Microsoft Purview, Microsoft Fabric, AI Foundry, Microsoft 365 Administration
- Working hands-on knowledge of security, governance & management on Microsoft Entra, Defender for Cloud Apps, Azure Policy
- Understanding of responsible AI principles, privacy by design, and regulatory alignment (GDPR, ISO, NIST).
- Strong ability to lead short, outcome-driven consulting engagements and communicate with executives.
- Excellent English and French written and verbal communication skills, capable of simplifying complex security & governance topics.
- Previous consulting or customer-facing experience at a major Microsoft partner.
- Familiarity with AI governance frameworks, model risk management, and data-driven decisioning.
- Working knowledge of Azure AI, AI Foundry, Microsoft Fabric security and compliance configurations.
- Experience in building RACI models, acceptable-use policies, or risk registers for AI or cloud platforms.
- Exposure to FinOps or cost optimization in Microsoft 365 and Azure environments
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Microsoft Certified: Cybersecurity Architect Expert (SC-100)
- Microsoft Certified: Information Protection Administrator (SC-401)
- Microsoft Certified: Azure Security Engineer Associate (AZ-500)
- Bonus: Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Canada. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
- Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
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