Responsible AI Engineer

CapgeminiNew York, NY
53d

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Role Summary:The role will operate both as a trusted advisor to clients and a hands‑on implementation specialist. This role focuses on designing, operationalizing, and implementing Responsible AI and AI governance programs for clients across industries, helping them scale AI adoption while meeting regulatory, ethical, and risk expectations.The ideal candidate combines consulting mindset, technical depth, and execution capability, with experience implementing AI governance frameworks and tools in real‑world client environments. This role requires strong client engagement skills, practical experience with AI governance platforms, and a solid understanding of the EU AI Act and global AI regulatory frameworks.Role Expectations:This role blends strategy, consulting, and implementation, requiring the ability to:

Requirements

  • Proven experience delivering AI governance and Responsible AI initiatives
  • Proven delivery of at least one end‑to‑end AI governance implementation, with hands‑on experience deploying at least one AI governance platform, is a MUST (E.g., tools such as AI governance and model governance platforms, such as: IBM watsonx.governance, Credo.ai, Monitaur, Fiddler, or any other leading AI governance platform)
  • Strong expertise in Responsible AI implementation, including: Ethical AI frameworks
  • Bias and fairness assessment
  • Explainability and transparency controls
  • Human‑in‑the‑loop and override mechanisms
  • AI risk classification and mitigation
  • AI model and use case inventories
  • Risk and compliance workflows
  • Model monitoring and documentation
  • Practical understanding of AI model and use‑case lifecycle governance, from ideation through deployment, monitoring, and retirement.
  • Solid working knowledge of the EU AI Act, including:
  • High‑risk AI system classification
  • Risk management and documentation requirements
  • Governance, accountability, and oversight expectations
  • Familiarity with global AI standards and frameworks such as ISO/IEC 42001, NIST AI RMF, and OECD AI Principles.
  • Ability to work directly with client stakeholders across business, legal, risk, compliance, and technology teams.
  • Willingly operate in multiple roles as required — consultant, solution architect, program lead, and hands‑on implementer.

Responsibilities

  • Lead implementation of AI governance platforms
  • Advise clients on AI governance strategy and operating models
  • Translate regulatory and Responsible AI principles into practical, deployable controls
  • Support clients through AI governance maturity journeys

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service