23 hours ago
Base Salary
$135k - $1475k/yr
Responsibilities
- Own embedded technical workstreams through deployment.
- Build AI workflows and pipelines.
- Partner with client engineers to deliver production-grade solutions.
- Drive client adoption through enablement.
- Mentor consultants.
- Collaborate across strategy, technology, data, and design to support AI-driven solutions.
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 environments.
- Track record of delivering software adopted by clients or users.
- Strong understanding of core AI and generative AI concepts and their enterprise applications.
- Understanding of responsible AI principles, including ethics, privacy, security, and governance.
- Curiosity and continuous learning around emerging AI capabilities and practical client applications.
Benefits
- Base compensation range is $135,000-147,5000.
- Paid time off may include 12–25 vacation 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 401(k) in the U.S. and RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs and other benefits based on local policy and eligibility.
- Benefits apply to regular, full-time employees and vary by location and eligibility.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.