Secure AI Architect (Microsoft)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Secure AI Architect (Microsoft AI Ecosystem): Designing and implementing secure, compliant, and well-governed foundations for enterprise AI adoption with an accent on security architecture, data governance, and responsible AI. Focus on assessing AI readiness, defining governance frameworks, and ensuring secure enablement of generative AI solutions like Microsoft Copilot and Azure AI Foundry.
Location: Remote (Must be based in Canada)
Salary: $120,000 - $140,000 CAD
Company
is a global AI Builder and technology services provider that bridges the gap between AI investment and enterprise value by building full-stack AI solutions.
What you will do
- Lead customer workshops to assess AI readiness across identity, data protection, and compliance.
- Define AI governance frameworks covering policies, access controls, and risk management.
- Advise on the secure enablement of generative AI solutions including Microsoft Copilot, Copilot Studio, and Azure AI Foundry.
- Design practical approaches for data boundary enforcement, labeling, and prompt-safety controls.
- Review identity and access models for AI workloads, including MFA, Conditional Access, and privileged identity management.
- Recommend monitoring, auditing, and incident response strategies for AI misuse or data leakage.
Requirements
- 5+ years of experience in cloud security, compliance, or security architecture, ideally within enterprise Microsoft environments.
- Proven experience advising enterprise customers on the secure adoption of Microsoft 365 and AI workloads.
- Deep hands-on knowledge of Microsoft Purview, Microsoft Fabric governance, and Azure AI Foundry.
- Practical experience with Microsoft Entra, Defender for Cloud Apps, and Azure Policy.
- Strong understanding of responsible AI principles and regulatory alignment (GDPR, ISO, NIST).
- Must be based in Canada.
- Required certifications: SC-100, SC-401, and AZ-500.
Nice to have
- Prior consulting or customer-facing experience with a major Microsoft partner.
- Familiarity with AI governance frameworks and model risk management.
- Microsoft Certified: Azure AI Engineer Associate (AI-102).
- Experience developing RACI models or AI risk registers.
Culture & Benefits
- Medical, Dental, Vision, and Life Insurance.
- Paid holidays and Paid Time Off.
- 401(k) plan and company contributions.
- Paid Parental Leave and Employee Stock Purchase Plan.
- Focus on work-life balance through dedicated wellbeing programs.
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