Lead Azure AI Security Engineer (EPAM SISTEMOS, UAB)

Job description:
We are seeking a Lead Azure AI Security Engineer to provide technical leadership and subject matter expertise in securing Azure and Microsoft cloud environments at enterprise scale. In this role, you will design and improve security architecture while leveraging AI-powered tools to automate and enhance daily security engineering activities across hybrid and multi-cloud environments.
This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas.
Provide technical leadership and subject matter expertise in securing Azure and Microsoft cloud environments at enterprise scale
Design, implement and improve security architecture across Azure, Microsoft 365, Microsoft Entra ID, hybrid and multi-cloud environments, with Azure as the primary cloud platform
Work across key cloud security domains including CSPM/CNAPP, Identity and Access Management, Privileged Access Management, Data Protection and Data Loss Prevention, Microsoft Defender security stack, SIEM/SOAR, Business Continuity and Disaster Recovery, DevSecOps, container and Kubernetes security and policy-as-code
Plan, design and implement security controls for cloud workloads, applications, infrastructure and data
Collaboration with engineering, infrastructure, development, DevOps, database, operations and compliance teams to embed security into the full delivery lifecycle
Support implementation and continuous improvement of Zero Trust architecture, secure authentication, conditional access, least privilege and identity protection
Develop and maintain automation scripts, workflows and security tooling using PowerShell, Python, Azure CLI, Logic Apps, Azure Functions, KQL and REST APIs
Use AI-powered tools and agentic workflows to automate and improve security activities such as findings triage, log analysis, incident investigation support, configuration review, compliance evidence collection and vulnerability analysis
Design or integrate AI agents and AI-assisted automations using modern AI platforms and frameworks while ensuring proper security, privacy and governance controls
Contribute to secure adoption of AI technologies by defining guardrails for data protection, access control, prompt security, model usage, auditability and human-in-the-loop processes
Train and support other team members on cloud security practices, security processes and AI-assisted automation approaches
Requirements:
3+ years of experience in software development
Bachelor's degree in Computer Science, Information Security, Engineering or equivalent practical experience
Hands-on experience with Microsoft Azure services
Strong understanding of cloud security concepts, Azure architecture and enterprise-scale cloud environments
Practical experience with Microsoft Entra ID/Azure Active Directory, Microsoft Defender for Cloud and Microsoft Defender XDR
Skills in Microsoft Sentinel, Microsoft Purview and Microsoft…