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.
ABOUT THE JOB YOU’RE CONSIDERING
At Capgemini Invent, the Data Driven Transformation (DDT) team helps
organizations unlock the full value of their data and AI investments to drive
meaningful, scalable change. As part of Capgemini’s Strategy & Transformation
Consulting practice, DDT partners with clients to shape data‑centric strategies,
modern operating models, and AI‑enabled solutions that deliver measurable
business outcomes.
Our unified team model brings together expertise across Data & AI Advisory, Data
Platforms & Architecture, and Applied Data Fusion, enabling seamless
collaboration from strategy through execution. We work with leading
organizations across industries including manufacturing, energy, consumer
products, and life sciences to design future‑ready capabilities and accelerate
value realization.
The DDT team is recognized for:
* Enabling Generative AI to improve efficiency and unlock new sources of
innovation
- Applying data and AI to sustainability and digital transformation initiatives
- Designing scalable, reusable data and AI products
- Delivering value quickly in complex, fast‑moving environments
YOUR ROLE
As an Forward Deployed Engineer Consultant, you will embed directly within
client teams to build, configure, and deploy AI and data solutions in live
enterprise environments. You will focus on hands‑on delivery, learning client
systems quickly, and contributing reliable technical output while operating
under senior guidance.
You will:
* Build data pipelines, AI components, and platform configurations within
client environments
* Develop Python and SQL solutions to extract, transform, and operationalize
data
* Configure and extend enterprise AI/data platforms under established
architectures
* Participate in client standups, technical working sessions, and delivery
cadences
* Document solutions and support knowledge transfer to client teams
YOUR SKILLS + EXPERIENCE
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.
Required Skills:
* 3–5 years in software engineering, data engineering, or a forward‑deployed
technical role
* Hands‑on Python and SQL skills for building pipelines and operational
solutions
* Experience working with at least one enterprise AI or data platform (e.g.,
Palantir Foundry or cloud‑native equivalents)
- Comfort working directly inside client environments with limited oversight
- Ability to document technical work and explain outputs to non‑technical
stakeholders
The base compensation range for this role in the posted location is: $67,500 -
$127,510
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 and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms
of incentive pay) is not considered earned, vested, or payable until it becomes
due under the terms of applicable plans or agreements and is subject to
Capgemini’s discretion, consistent with applicable laws. The Company reserves
the right to amend or withdraw compensation programs at any time, within the
limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the
workplace. Capgemini also participates in the Partnership Accreditation in
Indigenous Relations (PAIR) program which supports meaningful engagement with
Indigenous communities across Canada by promoting fairness, accessibility,
inclusion and respect. We value the rich cultural heritage and contributions of
Indigenous Peoples and actively work to create a welcoming and respectful
environment. All qualified applicants will receive consideration for employment
without regard to race, national origin, gender identity/expression, age,
religion, disability, sexual orientation, genetics, veteran status, marital
status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications
required for this position. Physical, mental, sensory or environmental demands
may be referenced in an attempt to communicate the manner in which this position
traditionally is performed. Whenever necessary to provide individuals with
disabilities an equal employment opportunity, Capgemini will consider reasonable
accommodations that might involve varying job requirements and/or changing the
way this job is performed, provided that such accommodation does not pose an
undue hardship. Capgemini is committed to providing reasonable accommodation
during our recruitment process. If you need assistance or accommodation, please
reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot)
during the interview process and that image may be used for verification,
including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in
the United States.
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Capgemini is a global business and technology transformation partner, helping
organizations to accelerate their dual transition to a digital and sustainable
world, while creating tangible impact for enterprises and society. It is a
responsible and diverse group of 340,000 team members in more than 50 countries.
With its strong over 55-year heritage, Capgemini is trusted by its clients to
unlock the value of technology to address the entire breadth of their business
needs. It delivers end-to-end services and solutions leveraging strengths from
strategy and design to engineering, all fueled by its market leading
capabilities in AI, generative AI, cloud and data, combined with its deep
industry expertise and partner ecosystem.
