{"id":3935836,"url":"https://alion.io/job/epam-systems-lead-ai-security-engineer-data-ai-platform-2","title":"Lead AI Security Engineer - Data & AI Platform","company":{"id":92,"name":"EPAM Systems","domain":"epam.com","url":"https://alion.io/company/epam-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"D","score":47,"open_postings":61,"ghost_share":0.852,"stale_share":0,"repost_share":0.148,"time_to_fill_p50_days":31,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Security","role_family":"Security","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vilnius, Lithuania"],"countries":["LT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":4500,"max":6500,"currency":"EUR","period":"month","gross":true,"usd_annual":86916},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"EU AI Act","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"ISO 27001","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Loki","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-05T02:41:52Z","employer_posted_date":null,"last_verified_at":"2026-11-05T02:41:52Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Job Description\nWe are seeking a Lead AI Security Engineer to join the AI Foundation team and drive the security strategy and implementation for Enterprise AI and Scientific AI workloads across Azure and GCP platforms.\n\nThis is a technical leadership role where you will shape and evolve the AI Security Framework, translating controls into working platform configurations and establishing engineering standards for security as code through Terraform, GitOps CI/CD security gates, and policy-as-code that continuously attests to compliance. You will lead a team of AI Security Engineers, partner with Lead AI Security auditors and AI Engineering leads in a high-talent-density domain, and own the end-to-end security posture of AI platforms, ensuring implementations consistently exceed governance requirements.\n\n_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._\n\nResponsibilities\n\nDefine and own the technical direction for translating AI Security control descriptions into working platform configurations and defensible implementations\n\nEstablish engineering standards and reusable patterns for security controls as code using Terraform, GitOps CI/CD pipelines, and policy-as-code frameworks\n\nDesign evidence-generation frameworks that produce machine-verifiable proof of adherence to control descriptions at scale\n\nArchitect Kubernetes GPU node pool segmentation, VNet/VPC isolation, and private endpoints across Azure and GCP\n\nDefine authorization models for RBAC/ABAC least-privilege access, managed/workload identity, and risk-based access controls\n\nLead the design of a hardened API integration layer and centralized gateway with tool-level access controls\n\nSet the strategy for LLM guardrails covering prompt/response injection, content filtering, kill-switches, and inference rate limits\n\nArchitect observability pipelines for anomaly and drift detection, restricted-access logs, and end-to-end traceability\n\nGovern training-data and model isolation strategies to support robustness and prevent model theft\n\nMentor engineers and lead cross-functional collaboration with Lead AI Security auditors and AI Engineers to ensure implementations pass governance consistently\n\nDrive classification and compliance programs aligned with ISO 27001, EU AI Act, and GDPR requirements\n\nRepresent the AI Security Engineering practice in architecture reviews, roadmap planning, and stakeholder communications\n\nRequirements\n\n5+ years of experience in SDLC foundations and cloud platform engineering with an AI/ML focus, including demonstrable experience leading technical teams or initiatives\n\nSecurity-first mindset with the proven ability to set direction and translate control intent into defensible implementations, mentoring engineers and partnering with lead specialists\n\nDeep hands-on and architectural experience with Azure, GCP, and Kubernetes (AKS/GKE) including GPU node pools and VNet/VPC segmentation\n\nExpert-level command of Terraform, GitOps workflows, and policy-as-code within CI/CD pipelines (Azure DevOps/GitHub Actions), with experience defining standards and reusable modules\n\nAdvanced knowledge of IAM concepts including RBAC/ABAC least-privilege, managed/workload identity, and geo-aware risk-based access controls\n\nProven track record designing hardened API integration layers, centralized MCP gateways, and LLM guardrails for prompt/response injection and content filtering\n\nExpertise in architecting observability stacks using OpenTelemetry, Prometheus, Loki, Tempo, and Grafana for anomaly and drift detection\n\nStrong grasp of data classification, training-data/model isolation, and model-theft prevention practices\n\nSolid background in compliance frameworks including ISO 27001, EU AI Act, and GDPR, with experience translating regulatory requirements into technical roadmaps\n\nExcellent stakeholder communication, mentoring, and technical leadership skills\n\nExcellent command of written and spoken English (B2+ level)\n\nCompany offers\n\nEngineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years\n\nAdvanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies\n\nWorld-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact\n\nProfessional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices\n\nGenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys\n\nEntrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life\n\nHybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas\n\nOther Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more","description_format":"text","description_chars":5178,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health 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