Lead AI Security Engineer

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. The company has over thirty years of experience in custom software, product, and platform engineering, aiming to empower clients to become AI-Native enterprises.

• Bachelor's degree in Computer Science, Information Security, Engineering, or equivalent practical experience
• Hands-on application security experience across the software development lifecycle
• Strong understanding of common application vulnerability classes and mitigations, including the OWASP Top 10, and secure coding principles
• Practical experience with application security tooling including SAST, DAST, SCA, secrets scanning, and integration in CI/CD pipelines
• Working knowledge of at least one programming language (e.g., Python, Java, C#, JavaScript, TypeScript, Go) sufficient to read code and assess vulnerabilities
• Experience with threat modeling and secure design review methodologies
• Understanding of DevOps/DevSecOps practices, CI/CD pipelines, and secure-by-design principles
• Familiarity with cloud application security concepts on platforms such as Azure, AWS, or GCP
• Experience with production projects or engineering teams
• Ability to collaborate with developers, architects, QA engineers, DevOps, product, and security teams and influence without owning code
• Ability to follow, maintain, and improve defined security processes
• Practical understanding of AI-assisted productivity and automation including building/configuring AI agents, integrating LLMs with tools, prompt engineering, and secure AI tool usage
• Good communication skills to explain security risks, decisions, and remediation plans to technical and non-technical stakeholders

Nice to have:

• Experience with security platforms/tools like Snyk, Checkmarx, Veracode, SonarQube, Semgrep, GitHub Advanced Security, Burp Suite, OWASP ZAP
• Experience with software supply chain security including SBOM, SLSA, Sigstore, dependency and artifact integrity
• Experience with Infrastructure as Code and policy-as-code security tools such as Terraform, Bicep, ARM templates, OPA, Checkov, Trivy
• Experience with container and Kubernetes security including image scanning, registries, runtime protection, and network policies
• Experience with API security, secrets management (e.g., HashiCorp Vault, Azure Key Vault), and microservice security patterns
• Understanding compliance or security frameworks such as ISO 27001, NIST, CIS Benchmarks, PCI DSS, HIPAA, SOC 2, SOX
• Experience integrating security findings with SIEM/SOAR, ticketing, and vulnerability management workflows
• Experience with AI/LLM platforms or frameworks like Azure OpenAI, Azure AI Foundry, Amazon Bedrock, Microsoft Copilot Studio, LangChain, AutoGen
• Understanding AI and LLM application security risks including prompt injection, insecure output handling, data leakage, model governance, and AI supply chain risks
• Security certifications such as CSSLP, GIAC GWAPT/GWEB, OSCP/OSWE, CISSP, CISM, CCSP, or AI-related certifications like AI-900, AI-102

• Embed security into the full software development lifecycle and drive shift-left and secure-by-design practices across engineering teams
• Perform and facilitate threat modeling, architecture security reviews, and design reviews for applications, services, and APIs
• Conduct secure code reviews (manual and AI-assisted) and advise developers on secure coding patterns and remediation
• Implement, configure, tune, and operate application security tooling, including SAST, DAST, IAST, SCA, secrets scanning, and IaC scanning, integrated into CI/CD pipelines
• Triage, validate, prioritize, and reduce false positives in security findings and partner with development teams to track issues through remediation
• Define, implement, and maintain security gates and policies in CI/CD pipelines balancing risk reduction and developer velocity
• Secure the software supply chain including dependency and open-source risk management, SBOM generation, artifact integrity and signing, and build pipeline hardening
• Support and coordinate application penetration testing and validate fixes for identified vulnerabilities
• Drive secrets management, secure configuration, API security, container and image security, and microservice security practices
• Establish and run a security champions program and develop and deliver secure-coding training, guidelines, and reusable security patterns for developers
• Define and maintain application security standards, baselines, and policy-as-code, and contribute to vulnerability management and risk acceptance processes
• Build, deploy, and maintain AI-assisted automations and agentic workflows to reduce manual effort across application security activities, including vulnerability triage, code review, threat modeling, and remediation
• Build and integrate AI agents and LLM-backed automations into the SDLC and CI/CD pipelines connecting models to scanners, code hosts, ticketing, and security tooling
• Develop, test, and maintain reusable prompts, structured-prompting patterns, and prompt templates for recurring AppSec tasks, tuned for accuracy and safe behavior
• Implement retrieval over codebases, security standards, and remediation guidance for AI assistants to answer from current internal context
• Build evaluation, validation, and human-in-the-loop checkpoints into AI-assisted AppSec workflows including output verification and approval gates
• Implement security and privacy controls for AppSec AI usage including least-privilege access, prompt-injection resistance, and auditability
• Design, implement, and operate security controls for AI- and LLM-powered application features aligned to the OWASP Top 10 for LLM Applications
• Define and enforce guardrails for secure AI adoption in product engineering and advise development teams on building AI features securely

Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez EPAM Systems (Poland) sp. z o.o. z siedzibą w: Fabryczna 1A, 31-553 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu zgodnie Polityką Prywatności.