Azure AI Security Architect

Look4IT

Azure Security Architect for an international consulting company. Responsible for designing secure cloud architectures for AI-driven solutions and data platforms.

Posted 7/21/2026contractRemote • 🇵🇱 PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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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 ArchitectureCloud SecurityTerraformGitHub ActionsCI/CD Best Practices

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Applicant Tracking System Keywords

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Hard Skills

Cloud ArchitectureAI Solutions DesignNetwork SecurityContainerized WorkloadsPython EnvironmentsSecrets ManagementIdentity ManagementInfrastructure as CodeSecure Software DeliveryAudit-Ready Engineering

Soft Skills

MentoringCollaboration

Tools & Technologies

DatabricksGitHub EnterpriseAzure DevOps

Industry Keywords

Secure Network ArchitecturesIdentity and Access ManagementComplianceAudit ReadinessSandboxed Code Execution

Tech Stack

Tools & technologies

AzureCloudFirewallsPythonTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

There are no specific benefits mentioned in the job description.