Azure AI Security Senior Consultant

Deloitte Deloitte · Consulting

This role focuses on securing AI and Machine Learning solutions on the Microsoft Azure platform, including implementing security for Azure AI Services, designing security playbooks for AI models, developing secure CI/CD pipelines for AI model deployment, and automating security guardrails. It involves a strong security focus within an enterprise consulting context.

What you'd actually do

  1. Lead security implementation of Azure AI Services (OpenAI Service, Machine Learning, Cognitive Services, AI Studio), ensuring protection from development to deployment.
  2. Design and implement security playbooks for AI models, addressing encryption, access control, data integrity, model scanning, and AI model governance.
  3. Develop and enforce security controls for Microsoft Copilot and GitHub Copilot, including data governance, access management, code scanning, and vulnerability detection.
  4. Build secure CI/CD pipelines for training, tuning, and deploying Machine Learning and Generative AI models, embedding security throughout the MLOps lifecycle.
  5. Automate security guardrails via Azure Policies, ARM/Bicep templates, and Terraform modules to ensure consistent security across Azure AI services.

Skills

Required

  • Azure platforms
  • Azure data and analytics solutions
  • Security controls for AI or cloud environments
  • Security Posture Management tools (e.g., Microsoft Defender for Cloud)
  • Programming with JSON/ PowerShell or Python
  • Cloud deployments and automation

Nice to have

  • Microsoft Copilot
  • GitHub Copilot
  • Azure AI Services (Azure Machine Learning, Azure OpenAI)
  • Securing AI models from development through deployment
  • Azure API Manager
  • Responsible AI Controls (fairness, safety, privacy, transparency)
  • Secure pipelines (CI/CD) for AI services in multi-cloud environments
  • OWASP, NIST, or MITRE ATLAS frameworks for AI/cloud environments
  • AI Firewall solutions (e.g., Azure AI Content Safety)

What the JD emphasized

  • security implementation of Azure AI Services
  • security playbooks for AI models
  • security controls for Microsoft Copilot and GitHub Copilot
  • secure CI/CD pipelines for training, tuning, and deploying Machine Learning and Generative AI models
  • security guardrails via Azure Policies, ARM/Bicep templates, and Terraform modules
  • 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.
  • 1+ years of experience in programming with JSON/ PowerShell or Python focusing on cloud deployments an automation

Other signals

  • Securing AI/ML solutions on Azure
  • Security implementation of Azure AI Services
  • Security controls for AI models
  • Secure CI/CD pipelines for AI models
  • Automate security guardrails for Azure AI services