
Azure AI Security Architect
Posted 7 hours ago

Posted 7 hours ago
This is a fully remote position, open to applicants in Poland.
• Designing secure cloud architectures on Azure for AI applications, data-centric platforms, and internal digital products;
• Establishing architectural patterns for AI solutions that leverage data from platforms like Databricks;
• Creating secure methodologies for AI agents, including sandboxed code execution and runtime isolation;
• Designing secure network architectures that encompass segmentation, private endpoints, and regulated access;
• Implementing guidelines for identity management, secrets handling, encryption, logging, and monitoring;
• Utilizing Terraform to define and sustain reusable infrastructure-as-code patterns;
• Assisting in the transition from Azure DevOps to GitHub Enterprise;
• Crafting and executing contemporary CI/CD pipelines using GitHub Actions;
• Establishing repository governance, code review protocols, and deployment oversight;
• Defining secure software delivery protocols with complete traceability and audit readiness;
• Collaborating with engineering teams and mentoring developers on best practices across cloud, security, and DevOps.
• Extensive hands-on experience with Microsoft Azure cloud architecture
• Demonstrated expertise in cloud security (identity, networking, encryption, secrets management, monitoring)
• Experience in 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 comparable enterprise data platforms
• Strong understanding of network security (VNETs, firewalls, private endpoints, controlled egress)
• Proficiency with Terraform and infrastructure as code
• Significant experience with GitHub Enterprise, GitHub Actions, and CI/CD best practices
• Experience with Azure DevOps and migration to GitHub is a notable advantage
• Knowledge of identity and access management (Microsoft Entra ID, RBAC, managed identities)
• Comprehension of secure software delivery, compliance, and audit-ready engineering practices
• Capacity to blend hands-on technical tasks with architectural leadership.
• There are no specific benefits mentioned in the job description.
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