AI Security Consultant

EPAM Systems; Netherlands; On-site; EUR 105,534 - 140,713; Full time

Job summary

EPAM Systems is seeking an AI Security Consultant to join our hybrid UK team. The role focuses on designing and securing AI systems, addressing risks from generative AI to MLOps, while balancing technical depth with strategic guidance for clients across multiple sectors.

You will lead adversarial testing, define security controls, translate AI regulations into requirements, and support pre-sales with security expertise as EPAM expands its cybersecurity practice.

Qualifications

• 5+ years of cybersecurity experience, ideally with consulting exposure.
• Knowledge of AI/ML concepts, generative AI stack, LLMs, RAG and MLOps pipelines.
• Familiarity with AI security frameworks such as OWASP LLM Top 10 and MITRE ATLAS.
• Understanding of cloud security across AWS, Azure or GCP.
• Awareness of AI-related regulations and data-protection requirements.
• Strong communication skills for both technical and executive audiences.
• Ability to deliver structured solutions in fast-moving, ambiguous environments.
• Nice to have: Certifications such as CISSP, CCSP, OSCP or related cloud credentials.
• Practical experience in AI red-teaming or penetration testing.
• Background in software engineering or data science.

Responsibilities

• Lead security assessments of AI/ML systems, including LLM applications and ML pipelines.
• Threat-model AI architectures using frameworks such as OWASP LLM Top 10, MITRE ATLAS and NIST AI RMF.
• Advise clients on securing the AI lifecycle from data sourcing to deployment and monitoring.
• Define security controls for prompt injection, jailbreaks, data poisoning and supply-chain risk.
• Translate AI regulations and data-protection laws into actionable security requirements.
• Perform adversarial testing and red-teaming of generative AI applications.
• Create documentation, secure design patterns and reference architectures for client teams.
• Act as a trusted advisor for senior stakeholders and support EPAM pre-sales where needed.

Skills

AI/ML concepts

Security frameworks

Cloud security

Communication skills

Consulting experience

Red-teaming

Job description

We’re looking for an AI Security Consultant to join our team in the UK in a hybrid working mode. In this role, you will help clients design and secure AI systems that they can trust, addressing emerging risks across generative AI, agent-based workflows and traditional machine learning pipelines. Acting at the intersection of cybersecurity, machine learning and consulting, you will influence enterprise-wide adoption of secure AI practices and ensure compliance with evolving regulations such as the EU AI Act. This is a hands‑on role with client‑facing responsibility, balancing technical depth with strategic guidance. You will work across multiple sectors, supporting EPAM’s growing Cybersecurity practice and shaping our AI security capabilities as this rapidly evolving field matures.

Responsibilities

• Lead security assessments of AI/ML systems, including LLM applications and ML pipelines.
• Threat‑model AI architectures using frameworks such as OWASP LLM Top 10, MITRE ATLAS and NIST AI RMF.
• Advise clients on securing the AI lifecycle from data sourcing to deployment and monitoring.
• Define security controls for prompt injection, jailbreaks, data poisoning and supply‑chain risk.
• Translate AI regulations and data‑protection laws into actionable security requirements.
• Perform adversarial testing and red‑teaming of generative AI applications.
• Create documentation, secure design patterns and reference architectures for client teams.
• Act as a trusted advisor for senior stakeholders and support EPAM pre‑sales where needed.

Requirements

• 5+ years of cybersecurity experience, ideally with consulting exposure.
• Knowledge of AI/ML concepts, generative AI stack, LLMs, RAG and MLOps pipelines.
• Familiarity with AI security frameworks such as OWASP LLM Top 10 and MITRE ATLAS.
• Understanding of cloud security across AWS, Azure or GCP.
• Awareness of AI-related regulations and data‑protection requirements.
• Strong communication skills for both technical and executive audiences.
• Ability to deliver structured solutions in fast‑moving, ambiguous environments.
• Nice to have: Certifications such as CISSP, CCSP, OSCP or related cloud credentials.
• Practical experience in AI red‑teaming or penetration testing.
• Background in software engineering or data science.

Nice to Have

• Certifications such as CISSP, CCSP, OSCP or related cloud credentials.
• Background in software engineering or data science.