Cloud Security Manager – Azure Infrastructure & AI

This role focuses on leading Microsoft security teams for large client engagements involving Microsoft Azure and AI security services. It involves designing and implementing security controls for Azure AI Services, developing AI security playbooks, and building secure MLOps pipelines using tools like Azure Policy and Terraform. The role also includes business development and client relationship management within the Microsoft Azure and AI security space.

What you'd actually do

  1. Leading Microsoft security teams for large, complex client engagements focused on Microsoft Azure and artificial intelligence (AI) security services, including strategy, design, implementation, and adoption
  2. Leading multiple Azure and AI security projects in project leader and program manager roles, overseeing onsite and offshore engineers and architects to deliver quality outcomes aligned to client objectives
  3. Designing and implementing security controls for Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Cognitive Services, and AI Studio, with protections embedded from development through deployment
  4. Developing AI security playbooks and governance controls covering encryption, access control, data integrity, model scanning, model governance, data security, and secure deployment practices across Azure environments
  5. Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent security guardrails across Azure platforms and AI services

Skills

Required

  • 10+ years of experience in technical consulting, client problem solving, and architecting and designing security solutions with Microsoft Azure and AI security technologies, including Microsoft Entra ID, Active Directory, Microsoft Defender for Office 365, Microsoft Defender for Cloud, Microsoft Defender for Cloud Apps, Microsoft Defender for Endpoint, Microsoft Purview, Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Security Copilot; and experience leading project scope, pricing, and delivery across multiple concurrent proposals and projects
  • 5+ years of experience designing, implementing, or assessing security controls in Microsoft Azure environments, including Azure AI Services
  • 5+ years of experience with identity and access management, network security, data protection, logging, monitoring, vulnerability management, and infrastructure as code in cloud environments

Nice to have

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others
  • 10+ years of experience in enterprise security operations, enterprise security architecture, or infrastructure operations, plus 3+ years of experience in consulting leadership roles focused on Microsoft security technologies

What the JD emphasized

  • Microsoft Azure and artificial intelligence (AI) security services
  • Azure AI Services
  • secure cloud and machine learning operations (MLOps) pipelines

Other signals

  • security controls for Azure AI Services
  • secure cloud and machine learning operations (MLOps) pipelines
  • AI security playbooks and governance controls