AI Security Consultant

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

Benefits offered by this job

26 paid holiday days

Disability insurance (WGA Shortfall)

Long-term disability insurance (WIA)

EPAM Employee Stock Purchase Plan (ESy

Commuting to work - costs reimbursed

Laptop + corporate simcard + device

Bike lease

Employee Assistance Program

Referral program with rewards

Learning and development opportunities

Job summary

EPAM Systems in the Netherlands is seeking an AI Security Consultant to design and secure AI systems across client environments. The role combines cybersecurity, ML, and consulting to enable secure AI adoption and regulatory compliance within a hybrid work setting.

The ideal candidate has 5+ years in cybersecurity with consulting exposure and hands-on experience with AI security frameworks, cloud security and AI lifecycle governance.

Qualifications

• 5+ years of cybersecurity experience 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.

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

AI security frameworks

Cloud security

Communication skills

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
• Disability insurance (WGA Shortfall insurance)
• Long‑term disability insurance (WIA Top up insurance)
• EPAM Employee Stock Purchase Plan (ESPP)
• Commuting to work - costs reimbursement
• Laptop + 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