Azure AI Security Senior Consultant
- Lead security implementation of Azure AI Services (OpenAI Service, Machine Learning, Cognitive Services, AI Studio), ensuring protection from development to deployment.
- Design and implement security playbooks for AI models, addressing encryption, access control, data integrity, model scanning, and AI model governance.
- Develop and enforce security controls for Microsoft Copilot and GitHub Copilot, including data governance, access management, code scanning, and vulnerability detection.
- Build secure CI/CD pipelines for training, tuning, and deploying Machine Learning and Generative AI models, embedding security throughout the MLOps lifecycle.
- Manage data security through encryption, tokenization, anonymization, and access control for Azure data stores (e.g., Azure Storage, SQL Database, Cosmos DB, Data Lake).
- Automate security guardrails via Azure Policies, ARM/Bicep templates, and Terraform modules to ensure consistent security across Azure AI services.
- 4+ years' of experience in leading technical consulting or architecting solutions for Azure platforms ideally with a strong security focus
- 2+ years' experience in technical consulting of Azure data and analytics solutions ideally with a strong security focus
- Implementation of at least two security controls for AI or cloud environments within the last two years.
- 2+ years of experience with Security Posture Management tools such as Microsoft Defender for Cloud or equivalent third-party tools.
- 1+ years of experience in programming with JSON/ PowerShell or Python focusing on cloud deployments an automation
- Ability to travel 20-30%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
- Bachelor's degree, accredited, in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology.
- 1+ years of hands-on experience with Microsoft Copilot, GitHub Copilot, and Azure AI Services, including Azure Machine Learning and Azure OpenAI.
- 1+ years of experience implementing and managing security controls in DevOps pipelines and securing AI models from development through deployment.
- 2 + years' experience with Azure API Manager.
- Microsoft role-based certifications (e.g., Azure AI Engineer Associate, Azure Security Engineer Associate), CCSP, CCSK, CISSP.
- Experience with Responsible AI Controls (fairness, safety, privacy, transparency).
- Prior experience developing secure pipelines (CI/CD) for the deployment of AI services in multi-cloud environments.
- Implementation history using OWASP, NIST, or MITRE ATLAS frameworks for AI/cloud environments.
- 1+ years of experience with AI Firewall solutions such as Azure AI Content Safety/proxy configurations.
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