Azure AI Security Architect
Posted 5 hours ago
Worldwide
⭐
5-10 years experience
Please mention DailyRemote when applying
AI Summary
Design and implement secure Azure cloud architectures for AI-driven solutions and data platforms. Define security patterns for AI agents and manage the migration from Azure DevOps to GitHub Enterprise.
This is a remote position.
For an international consulting company, we are looking for an experienced Azure 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.
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