Capgemini Invent, Senior Consultant, Forward Deployed Engineer

Capgemini•New York, NY
•$112,600 - $212,700

About The Position

Capgemini Invent’s Data Driven Transformation (DDT) team helps organizations unlock the value of data and AI investments through data-centric strategies, modern operating models, and AI-enabled solutions. The team works across Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion, collaborating from strategy through execution. As a Senior Consultant, Forward Deployed Engineer, you will own embedded technical workstreams and deliver production-grade solutions that client teams adopt. The role calls for strong AI literacy and the ability to apply AI capabilities to enterprise transformation and business outcomes, while working collaboratively across strategy, technology, data, and design. The position may be eligible for additional variable incentives, bonuses, or commissions. The posted base compensation range is $112,600–$212,700.

Requirements

  • 5–6 years of experience in embedded or client-facing engineering.
  • Production experience with Python and SQL.
  • Experience with Palantir Foundry or an equivalent platform.
  • Ability to self-manage in ambiguous situations.
  • A track record of delivering software that is adopted by its users.
  • Strong literacy in core AI and generative AI concepts and understanding of their application to enterprise transformation.
  • Ability to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness.
  • Experience using AI-augmented ways of working to enhance research, analysis, and solution development.
  • Ability to collaborate across strategy, technology, data, and design.
  • Understanding of responsible AI principles, including ethics, privacy, security, and governance.
  • Curiosity and a continuous learning mindset concerning emerging AI capabilities and their practical application in client environments.

Responsibilities

  • Own technical workstreams through deployment.
  • Build AI workflows and pipelines.
  • Partner with client engineers.
  • Drive adoption through enablement.
  • Mentor consultants.

Benefits

  • Paid time off, including vacation, company-paid holidays, personal days, and sick leave, based on employee grade and local policy.
  • Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
  • Retirement savings plans, such as 401(k) in the U.S. or RRSP in Canada.
  • Life and disability insurance.
  • Employee assistance programs.
  • Other benefits as provided by local policy and eligibility.
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