AI Security Consultant

EPAM Systems; Amsterdam; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Pension plan scheme

Disability insurance (WGA Shortfall)

Long-term disability insurance (WIA Up

EPAM Employee Stock Purchase Plan (ESP

Commuting costs reimbursement

Bike lease

Learning and development opportunities

Job summary

EPAM Systems in the Netherlands is seeking an AI Security Consultant to help clients design and secure AI systems in a hybrid work model. The role blends cybersecurity, AI, and consulting to manage risks across generative AI, ML pipelines and regulatory compliance.

You will lead security assessments, model threats, and translate regulations into concrete security requirements, while supporting pre-sales and engaging with senior stakeholders across multiple sectors.

Qualifications

• 5+ years of cybersecurity experience, ideally with consulting exposure.
• Knowledge of AI/ML concepts, generative AI stack, LLMs, RAG and MLOps pipelines.
• Understanding of cloud security across AWS, Azure or GCP.

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 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

Cybersecurity experience

AI/ML concepts knowledge

Communication skills

Tools

OWASP LLM Top 10

MITRE ATLAS

Cloud platforms AWS/Azure/GCP

Job description

We're looking for an AI Security Consultant to join our team in the Netherlands 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 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

We offer

• 26 paid holiday days
• Pension plan scheme
• Disability insurance (WGA Shortfall insurance)
• Long‑term disability insurance (WIA Top up insurance)
• EPAM Employee Stock Purchase Plan (ESPP)
• Commuting to work - costs reimbursementLaptop + corporate simcard + corporate mobile device (subject to certain eligibility requirements)
• Bike lease
• Employee Assistance Program
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in‑house training and coaching, professional certifications, and courses