Senior AI Security Engineer
✨ AI Summary
EPAM Systems, an IT services and consulting firm, is hiring a Senior AI Security Engineer to secure enterprise microservices APIs using AI-driven detection and governance. The role focuses on REST and GraphQL APIs, requiring 3+ years of experience in API security, observability, and AI automation. Key technologies include Akamai, Grafana, Dynatrace, Splunk, and Langfuse, with a focus on LLM application security. Candidates must have B2 English proficiency and experience in incident triage and stakeholder collaboration.
We are looking for a Senior AI Security Engineer to secure enterprise microservices APIs across web and mobile environments using AI-driven detection, investigation, and governance. You will partner with engineering and business stakeholders to harden APIs, improve observability, and resolve security events.
Responsibilities
- Implement security controls for web applications, APIs, microservices, and AI-enabled services
- Design and implement observability for microservice REST and GraphQL APIs and end-to-end workflows
- Leverage AI and automation to analyze telemetry, logs, security events, and traffic data to detect issues
- Investigate and triage security and reliability events tied to configuration, agents, or integrations
- Identify and mitigate risks from exposed endpoints and publicly accessible services
- Coordinate with application teams, product owners, and stakeholders to resolve client-impacting issues
- Communicate findings, risks, mitigation plans, and recovery status to technical and business audiences
- Develop runbooks and troubleshooting procedures for recurring endpoint and API issues
Requirements
- 3+ years of experience securing APIs, web applications, and service-to-service communications
- Experience with microservices architectures, REST APIs, GraphQL, and event-driven systems
- Strong stakeholder collaboration skills to work directly with application teams and business partners
- Proven incident triage experience across security events and service-impacting issues
- Hands-on observability experience with logs, traces, metrics, and event streams
- Strong AI scripting and automation skills for detection, investigation, and remediation workflows
- Advanced knowledge of GraphQL security and API abuse prevention techniques
- Solid understanding of AI security, including Generative AI and LLM application security testing
- Clear communication skills for translating risks and mitigation plans to technical and business audiences
- Ability to document operational runbooks and troubleshooting procedures
- Upper-Intermediate English proficiency (B2)
Nice to have
- Experience with Akamai Application Security, API Security, or Bot Manager
- Experience designing observability with Grafana
- Experience building monitoring and diagnostics in Dynatrace
- Experience integrating signals and detections with Splunk
- Experience using Langfuse for AI/LLM observability
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
About the Company
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