Forward Deployment Engineer
About The Position
At Capgemini Invent, the Forward Deployment Engineer joins the Data Driven Transformation team within Capgemini's Strategy & Transformation Consulting practice. The team helps organizations unlock the value of data and AI investments through data-centric strategies, modern operating models, and AI-enabled solutions. Its unified model brings together Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion expertise, collaborating from strategy through execution. The role embeds in client teams to configure and deploy AI and data solutions in live environments. The position calls for someone able to work across strategy, technology, data, and design, applying AI literacy and responsible AI principles to support enterprise transformation and measurable business outcomes. Consultants are expected to work in AI-augmented ways, using analytics, automation, and generative AI to enhance research, analysis, and solution development. The posted base compensation range is $100,500–$189,890. The role may also be eligible for variable incentives, bonuses, or commissions. Capgemini's benefits package for regular full-time employees may include paid time off, company holidays, personal days, sick leave, medical, dental, and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs, subject to local policy and eligibility.
Requirements
- 3–5 years of experience in software, data, or forward-deployed engineering.
- Python and SQL skills.
- Experience with Palantir Foundry or an equivalent platform.
- Comfort working in client environments.
- Ability to explain work to nontechnical stakeholders.
- Strong AI literacy, including core AI and generative AI concepts, and understanding of their application to enterprise transformation.
- Experience working in AI-augmented ways to improve research, analysis, and solution development.
- Understanding of responsible AI principles, including ethics, privacy, security, and governance.
- Curiosity and a continuous-learning mindset regarding emerging AI capabilities and their practical application in client environments.
Responsibilities
- Build pipelines and AI components.
- Develop solutions using Python and SQL.
- Configure enterprise platforms.
- Participate in client delivery cadences.
- Document work and transfer knowledge.
- Support AI-enabled opportunities that improve business outcomes and delivery effectiveness.
- Collaborate across strategy, technology, data, and design to enable AI-driven solutions.
- Use AI-augmented ways of working to enhance research, analysis, and solution development.
Benefits
- Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave.
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
- Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs.
- The role may be eligible for variable incentives, bonuses, or commissions.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
