Azure AI Security Engineer

We are seeking an experienced 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 implement robust security architectures while leveraging AI-powered tools and agentic workflows to enhance daily security engineering activities. You will collaborate across multiple teams to embed security into the full delivery lifecycle and contribute to the secure adoption of AI technologies.
Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.
Responsibilities
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 Cloud Security Posture Management/CNAPP/CSPM, Identity and Access Management/Microsoft Entra ID, Privileged Access Management, Data Protection and Data Loss Prevention, Microsoft Defender security stack, SIEM/SOAR and automated incident response, Business Continuity and Disaster Recovery, DevSecOps and Infrastructure as Code security, container, Kubernetes, API and microservice security, as well as compliance, governance, policy-as-code and secure cloud landing zones
Plan, design and implement security controls for cloud workloads, applications, infrastructure and data
Collaborate 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, REST APIs and related technologies
Use AI-powered tools and agentic workflows to automate and improve daily security engineering activities such as security findings triage and prioritization, log analysis and alert enrichment, incident investigation support, configuration review, compliance evidence collection, security documentation generation, vulnerability and misconfiguration analysis, and knowledge base and runbook automation
Design or integrate AI agents and AI-assisted automations using modern AI platforms and frameworks where appropriate, 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
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 security technologies such as Microsoft Entra ID/Azure Active Directory, Microsoft Defender for Cloud and Microsoft Defender XDR
Expertise in Microsoft Sentinel, Microsoft Purview and Microsoft Intune
Proficiency in Conditional Access, Identity Protection and Privileged Identity Management
Competency in Key Vault, Azure Policy and Azure Monitor/Log Analytics
Strong engineering background, including experience with Microsoft infrastructure and cloud solutions such as Active Directory, Microsoft Entra ID, Microsoft 365, Exchange Online and hybrid identity
Security engineering experience in at least one business or technology domain
Experience participating in at least several production project
Understanding of software development lifecycle, DevOps/DevSecOps practices, cloud security assessment methodologies and secure-by-design principles
Ability to work closely with developers, business analysts, QA engineers, architects, project managers, infrastructure and operations teams
Ability to follow, maintain and improve defined security processes
Practical understanding of AI-assisted productivity and automation beyond basic chatbot usage, including building or configuring AI agents, automating repetitive security or engineering tasks, integrating LLMs with tools, APIs, documents or workflows, prompt engineering and structured prompting, creating AI-assisted runbooks, scripts, queries or documentation, and using AI tools securely with awareness of sensitive data handling and access control
Good communication skills and ability to explain security risks, technical decisions and remediation plans to both technical and non-technical stakeholders
Nice to have
Experience with scripting, automation or software development using at least one of the following: PowerShell, Python, Bash, Azure CLI, Terraform, Bicep, Experience with SIEM/SOAR platforms, especially Microsoft Sentinel, KQL, Logic Apps and security automation playbooks
Experience with CNAPP/CSPM/CWPP/CIEM tools such as Microsoft Defender for Cloud, Prisma Cloud, Wiz, Orca, Lacework, Check Point CloudGuard, CrowdStrike, Tenable, Rapid7 or similar
Experience with Infrastructure as Code and policy-as-code tools such as Terraform, Bicep, ARM templates, Azure Policy, OPA, Checkov or tfsec
Understanding of at least one compliance or security framework, such as ISO 27001, NIST, CIS Benchmarks, PCI DSS, HIPAA, HITRUST, GDPR, SOX, SOC 2 or FedRAMP
Experience with container and Kubernetes security, including AKS, container registries, image scanning, runtime protection and network policies
Experience with AI/LLM platforms or frameworks such as Azure OpenAI, Azure AI Foundry, Microsoft Copilot Studio, Semantic Kernel, LangChain, AutoGen, Power Platform, Power Automate or similar
Understanding of AI security risks, including data leakage, prompt injection, excessive agency, insecure tool use, model governance and AI supply chain risks
Experience implementing AI governance, secure AI usage policies, or controls aligned with frameworks such as NIST AI RMF, OWASP Top 10 for LLM Applications or ISO/IEC 42001
Security certifications such as:
AZ-500: Microsoft Azure Security Technologies
SC-100: Microsoft Cybersecurity Architect
SC-200: Microsoft Security Operations Analyst
SC-300: Microsoft Identity and Access Administrator
SC-400: Microsoft Information Protection Administrator
AZ-104: Microsoft Azure Administrator
AZ-305: Azure Solutions Architect Expert
CISSP, CISM, CISA, CCSK, CCSP, SSCP or similar
AI-related certifications, for example:
AI-900: Microsoft Azure AI Fundamentals
AI-102: Azure AI Engineer Associate
PL-900 / PL-200 for Power Platform automation scenarios
We offer
We connect like-minded people
Delivering innovative solutions to industry leaders, making a global impact
Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
Opportunity to work abroad for up to two months per year
Relocation opportunities within our offices in 55+ countries
Corporate and social events
We invest in your growth
Leadership development, career advising, soft skills and well-being programs
Certifications, including GCP, Azure and AWS
Unlimited access to EPAM's internal learning database
Free English classes with certified teachers
We cover it all
Participation in the Employee Stock Purchase Plan
Monetary bonuses for engaging in the referral program
Comprehensive medical & family care package
Five trust days per year (sick leave without a medical certificate)
Benefits package (sports activities, a variety of stores and services)
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

Work arrangement
Yes