Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location Must currently reside in San Francisco, Chicago, Houston, Dallas, Atlanta or New York/ New Jersey About the Job You're Considering We are seeking a Forward Deployment Engineer (FDE) - the tip of the spear for deploying AI-native solutions into live client environments. Working at the intersection of engineering, product, and client engagement, you’ll turn ambiguous business problems into working, Echo-powered solutions that drive measurable outcomes. FDEs aren’t traditional developers - they’re builders, problem solvers, and operators who embed with client teams to rapidly design, deploy, and scale AI-driven capabilities across real workflows, then stay to make them stick Business Architects define and structure the business strategy, capabilities, services, governance, organizational domains and key business processes. They align goals and objectives with products, processes, services, partners and suppliers to optimise the enterprise organisation, its capabilities and initiatives. The key focus is on the e2e value delivery, the business operations and business motivations linking the enterprise networks together. Business Architects define and ensure a comprehensive and coherent view across business domains, from strategy to execution. They model and create organisational value capabilities, structures and maps to optimise transformation and change, operational value delivery and a rationalised and sustainable IT. Managing Business Architect Design, deliver and manage complete business architecture solutions. Demonstrate leadership of topics in the architect community and show a passion for technology and business acumen. Work as a stream lead at CIOorCTO level for an internal or external client. Lead Capgemini operations relating to market development andoror service delivery excellence. Are seen as a role model in their local community. Certification: preferably Capgemini Architects certification level 2 or above, IAF and TOGAF 9 or equivalent. Your Role • Embed within client teams to understand workflows, pain points, and value levers, and translate ambiguous business problems into deployable AI-native solutions. • Own end-to-end implementation from concept to prototype to production in live client environments. • Configure, extend, and deploy Echo agents, workflows, and orchestration layers, integrating across enterprise systems (ERP, CRM, data platforms, and APIs). • Design workflows that combine human and digital labor - optimizing task allocation, throughput, cost efficiency, and experience outcomes. • Develop POCs and MVPs in days or weeks and iterate in real time with client stakeholders to drive adoption. • Quantify business impact and support the transition from pilot to scaled enterprise rollout, establishing reusable patterns, accelerators, and deployment playbooks. Your Skills and Experience • Minimum- Bachelors Degree • 9-12+ years building and shipping software, including time in client-facing or otherwise ambiguous, fast-moving environments. • Strong engineering foundation: Python, APIs, and at least one major cloud platform. • Hands-on experience with AI/LLMs, automation, or agent-based systems. • Ability to break ambiguous problems into structured, deployable solutions with a strong bias to action, and systems thinking across end-to-end workflows. • Strong client-facing communication, with the ability to engage business and technology stakeholders simultaneously in high-ambiguity environments. • Nice to have: experience integrating with enterprise systems such as SAP or Salesforce; familiarity with data pipelines and orchestration frameworks. • Nice to have: prior consulting, forward-deployed, or startup founding/early-engineer experience; exposure to agent orchestration, RAG, or evaluation and observability tooling. The base compensation range for this role in the posted location is: $117,930 - $223,591 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. capgemini.com 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.

Requirements

Must-haves

Must currently reside in San Francisco, Chicago, Houston, Dallas, Atlanta or New York/ New Jersey
About the Job You're Considering
Embed within client teams to understand workflows, pain points, and value levers, and translate ambiguous business problems into deployable AI-native solutions.
Own end-to-end implementation from concept to prototype to production in live client environments.
Configure, extend, and deploy Echo agents, workflows, and orchestration layers, integrating across enterprise systems (ERP, CRM, data platforms, and APIs).
Design workflows that combine human and digital labor - optimizing task allocation, throughput, cost efficiency, and experience outcomes.
Develop POCs and MVPs in days or weeks and iterate in real time with client stakeholders to drive adoption.
Quantify business impact and support the transition from pilot to scaled enterprise rollout, establishing reusable patterns, accelerators, and deployment playbooks.
Your Skills and Experience
Minimum- Bachelors Degree
9-12+ years building and shipping software, including time in client-facing or otherwise ambiguous, fast-moving environments.
Strong engineering foundation: Python, APIs, and at least one major cloud platform.
Hands-on experience with AI/LLMs, automation, or agent-based systems.
Ability to break ambiguous problems into structured, deployable solutions with a strong bias to action, and systems thinking across end-to-end workflows.
Strong client-facing communication, with the ability to engage business and technology stakeholders simultaneously in high-ambiguity environments.
The base compensation range for this role in the posted location is: $117,930 - $223,591
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.
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:
Life and disability insurance
Other benefits as provided by local policy and eligibility

Nice-to-haves

Nice to have: experience integrating with enterprise systems such as SAP or Salesforce; familiarity with data pipelines and orchestration frameworks.
Nice to have: prior consulting, forward-deployed, or startup founding/early-engineer experience; exposure to agent orchestration, RAG, or evaluation and observability tooling.

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Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off