Azure AI Security Architect

This is a remote position.

For an international consulting company, we are looking for an experiencedAzure Security Architect to support the design and implementation of secure cloud architectures for modern AI-driven solutions. The company operates across European markets, connecting top-tier technology professionals with organizations that require specialized expertise in delivering complex IT and cloud transformation projects. With a strong focus on innovation, security, and scalable solutions, the company supports clients across industries such as finance, healthcare, and technology.Our client is currently building modern, cloud-native platforms leveraging Microsoft Azure, with a strong emphasis on AI-enabled applications, data platforms, and DevOps transformation. The organization is evolving its cloud ecosystem to support future regulatory requirements while maintaining flexibility and scalability.This role is a senior, hands-on position combining architectural ownership with close collaboration with engineering teams. You will play a key role in defining secure patterns, standards, and frameworks for AI and cloud infrastructure.Your role will include:

• 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.

Originally posted on Himalayas