Capgemini Invent - Forward Deployed Engineer...

Capgemini
Atlanta, GA, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$67,500.0 - $127,510.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Information Engineering Data Infrastructure Data Systems Python (Programming Language) Standard Sql Software Engineering Data Pipelines

Job description

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.

Requirements

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

Benefits & conditions

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)

About the company

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, 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on juju.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · WWC Europe 2026

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · WWC 2024

1:31 min

Essential AI and human skills for future teams

Alexander Weißhaupt Alexander Weißhaupt +1 · WWC 2025

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · WWC 2025

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · WWC 2024

Videos

See all

Related articles

See all