Azure AI Security Architect

Responsibilities

• Designing secure Azure cloud architectures for AI applications, data-driven platforms, and internal digital products;




• Defining architecture patterns for AI solutions consuming data from platforms such as Databricks;




• Establishing secure patterns for AI agents, sandboxed code execution, and runtime isolation;




• Designing secure network architectures including segmentation, private endpoints, and controlled access;




• Implementing standards for identity management, secrets handling, encryption, logging, and monitoring;




• Using Terraform to define and maintain reusable infrastructure-as-code patterns;




• Supporting migration from Azure DevOps to GitHub Enterprise;




• Designing and implementing modern CI/CD pipelines using GitHub Actions;




• Establishing repository governance, code review processes, and deployment controls;




• Defining secure software delivery standards with full traceability and audit readiness;




• Collaborating with engineering teams and mentoring developers in best practices across cloud, security, and DevOps.

Requirements

• Strong hands-on experience with Microsoft Azure cloud architecture




• Proven expertise in cloud security (identity, networking, encryption, secrets management, monitoring)




• Experience designing secure solutions for AI applications, APIs, or data-driven systems




• Hands-on experience with containerized workloads, Python environments, or isolated compute patterns




• Familiarity with Databricks or similar enterprise data platforms




• Strong knowledge of network security (VNETs, firewalls, private endpoints, controlled egress)




• Experience with Terraform and infrastructure as code




• Strong experience with GitHub Enterprise, GitHub Actions, and CI/CD best practices




• Experience with Azure DevOps and migration to GitHub is a strong advantage




• Knowledge of identity and access management (Microsoft Entra ID, RBAC, managed identities)




• Understanding of secure software delivery, compliance, and audit-ready engineering practices




• Ability to combine hands-on technical work with architectural leadership.

Core Competencies

Demonstrates expertise in designing secure Azure cloud architectures for AI applications and data-driven platforms, with a strong focus on cloud security, identity management, and infrastructure as code using Terraform. Proven ability to implement CI/CD best practices and mentor engineering teams in secure software delivery and compliance.

Highest-signal resume keywords

• Microsoft Azure Cloud Architecture




• Cloud Security




• Terraform




• GitHub Actions




• CI/CD Best Practices

Hard Skills

• Cloud Architecture




• AI Solutions Design




• Network Security




• Containerized Workloads




• Python EnvironmentsSecrets Management




• Identity Management




• Infrastructure as Code




• Secure Software Delivery




• Audit-Ready Engineering

Soft Skills

• Mentoring




• Collaboration

Industry Keywords

• Secure Network Architectures




• Identity and Access Management




• Compliance




• Audit Readiness




• Sandboxed Code Execution

Tools & Technologies

• Databricks




• GitHub Enterprise




• Azure DevOps