Invent -Forward Deployed Engineer Managing Consultant

About the Job You’re Considering

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‑edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

As an Forward Deployed Engineer Managing Consultant, you will lead embedded engineering delivery across one or more client environments, owning technical execution and day‑to‑day client relationships. You will balance hands‑on leadership with delivery oversight, ensuring solutions are governed, maintainable, and adopted at scale.

You will:

• Lead embedded engineering teams and own delivery quality across work streams
• Own technical relationships with Director‑ and VP‑level client stakeholders
• Establish engineering standards, documentation practices, and delivery rhythms
• Ensure solutions are production‑ready, governed, and transferable to client ownership
• Identify expansion opportunities based on on‑the‑ground delivery insights

You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI‑augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance.

You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.

• 7+ years in embedded, forward‑deployed, or enterprise software engineering (consulting preferred)
• Proven experience leading a small engineering team within a client environment
• Deep hands‑on expertise with Palantir Foundry or equivalent enterprise AI/data platforms
• Strong client relationship skills with Director‑ or VP‑level engineering and operations leaders
• Experience delivering governed AI solutions, data pipelines, and platform enablement

The base compensation range for this role in the posted location is: $127,500 - $249,350

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to:
Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non‑negotiable benefits package to all regular, full‑time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• 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…