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Summary
About the Role
About You
- 4+ years of experience in leading technical consulting or architecting security solutions for Azure platforms.
- 2+ years of hands-on experience with Microsoft Copilot, GitHub Copilot, and Azure AI Services.
- 2+ years of experience implementing and managing security controls in MLOps pipelines.
- Implementation of at least two cryptographic methods for AI or cloud environments within the last two years.
- 2+ years of experience with AI Security Posture Management (AI-SPM) tools.
- 1+ years of experience in programming with Python or Java focusing on secure, scalable AI solutions.
- 2+ years of experience in designing, implementing, and securing MLOps pipelines.
- Ability to travel 20-30%.
- Bachelor's degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology.
- Microsoft role-based certifications (e.g., Azure AI Engineer Associate, Azure Security Engineer Associate).
- Experience with Responsible AI Controls.
- Prior experience developing secure pipelines for AI services in multi-cloud environments.
- Implementation history using OWASP, NIST, or MITRE ATLAS frameworks.
- 1+ years of experience with AI Firewall solutions.
Benefits
- Competitive salary range of $118k–$219k.
- Eligibility to participate in a discretionary annual incentive program based on performance.
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