Responsible AI Lead Consultant at EPAM Systems Inc
Eindhoven, , Netherlands -
Full Time


Start Date

Immediate

Expiry Date

02 Nov, 25

Salary

0.0

Posted On

02 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Risk, Data Science, Telco

Industry

Information Technology/IT

Description

EPAM’s AI Consulting Practice is seeking a seasoned Responsible AI Lead Consultant to lead and scale responsible AI engagements across the UK and Western Europe. In this role, you will collaborate with senior Data/AI leaders, enterprise clients, regulators and technical teams to embed ethical, safe and human-centric AI systems across diverse domains—ranging from finance to healthcare and beyond.
This is a high-impact opportunity suited to a strategic thinker and practitioner with deep expertise in Responsible AI (RAI) frameworks, governance and emerging regulations (e.g., the EU AI Act, UK guidance, ISO/IEC standards), paired with hands-on experience driving adoption within complex organizations.
We are significantly expanding our AI Consulting team and this is a great opportunity to be part of this exciting growth in a fast-paced, highly entrepreneurial environment where you can drive meaningful and responsible innovation across Europe.

REQUIREMENTS

  • Extensive experience in AI, data science, digital ethics, risk, or adjacent fields
  • Deep expertise in RAI frameworks, fairness/bias mitigation, explainability and model governance
  • Experience working with enterprise AI/ML systems in regulated industries (e.g., finance, healthcare, telco, etc.)
  • Familiarity with the EU AI Act, GDPR and global AI governance trends
  • Exceptional communication and stakeholder engagement skills across C-level, legal and technical audiences
  • Consulting experience is a strong plus
Responsibilities
  • Lead client engagements focused on (RAI) assessments, tooling, audits and framework development
  • Translate regulations and ethical principles into actionable implementation plans and technical guardrails
  • Collaborate with data scientists, MLOps teams and compliance leads to embed RAI principles into AI/ML pipelines
  • Advise on organizational readiness, training programs and risk mitigation strategies
  • Contribute to thought leadership, RFPs and the growth of EPAM’s RAI practice
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