Forward Deployed Engineer

What the role needs

• Partner directly with customers to understand business requirements and translate them into scalable technical solutions.
• Design, develop, and deploy AI, data, and cloud-native applications in production environments.
• Build integrations between enterprise systems, APIs, data platforms, and AI services.
• Work across the full solution lifecycle, including discovery, architecture, implementation, deployment, and post-production support.
• Develop proof-of-concepts (POCs), pilots, and production-grade solutions that address customer challenges.
• Collaborate with product and engineering teams to influence roadmap decisions based on field insights.
• Troubleshoot complex technical issues and optimize system performance, reliability, and scalability.
• Enable customers through technical workshops, architecture reviews, and best-practice guidance.
• Ensure security, compliance, governance, and operational excellence across deployed solutions.
• Drive successful adoption of AI, automation, and digital transformation initiatives.
• Strong software engineering fundamentals with expertise in Java, Python, or modern programming languages.
• Experience designing and deploying cloud-native applications on AWS, Azure, or GCP.

From the employer

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. Job Description • We are seeking a highly motivated Forward Deployed Engineer (FDE) to work directly with enterprise customers, bridging the gap between product engineering, AI, data platforms, and business outcomes. This role combines technical consulting, solution architecture, software development, and stakeholder management to deliver production-grade AI, data, and automation solutions in complex enterprise environments. • The ideal candidate is a hands-on engineer with experience deploying scalable AI and data platforms, integrating enterprise systems, and translating customer requirements into robust technical solutions. You will work closely with customers, product teams, architects, and leadership to accelerate adoption, drive innovation, and maximize business value. Key Responsibilities • Partner directly with customers to understand business requirements and translate them into scalable technical solutions. • Design, develop, and deploy AI, data, and cloud-native applications in production environments. • Build integrations between enterprise systems, APIs, data platforms, and AI services. • Work across the full solution lifecycle, including discovery, architecture, implementation, deployment, and post-production support. • Develop proof-of-concepts (POCs), pilots, and production-grade solutions that address customer challenges. • Collaborate with product and engineering teams to influence roadmap decisions based on field insights. • Troubleshoot complex technical issues and optimize system performance, reliability, and scalability. • Enable customers through technical workshops, architecture reviews, and best-practice guidance. • Ensure security, compliance, governance, and operational excellence across deployed solutions. • Drive successful adoption of AI, automation, and digital transformation initiatives. Required Skills • Strong software engineering fundamentals with expertise in Java, Python, or modern programming languages. • Experience designing and deploying cloud-native applications on AWS, Azure, or GCP. • Strong knowledge of distributed systems, APIs, microservices, and event-driven architectures. • Experience with AI/ML platforms, Generative AI, LLMs, RAG, Agentic AI, and workflow orchestration frameworks. • Hands-on experience with data engineering, ETL pipelines, data lakes, and modern analytics platforms. • Strong understanding of Kubernetes, Docker, CI/CD, DevOps, and Infrastructure as Code. • Experience integrating enterprise applications such as ERP, CRM, HR, and data platforms. • Ability to work directly with executive stakeholders, technical leaders, and cross-functional teams. • Strong problem-solving, communication, and customer-facing consulting skills. Preferred Skills • Experience with LangGraph, LangChain, CrewAI, AutoGen, ADK, A2A, MCP, or similar agent frameworks. • Experience deploying solutions using Google Gemini, Azure OpenAI, OpenAI, Anthropic Claude, or Vertex AI. • Knowledge of real-time data streaming technologies such as Kafka, Pub/Sub, or Event Hubs. • Familiarity with vector databases, knowledge graphs, and semantic search architectures. • Experience in regulated industries such as Healthcare, Banking, Financial Services, or Insurance. • Exposure to MLOps, LLMOps, model governance, and AI observability platforms. The base compensation range for this role in the posted location is: 170,000 - 200,000 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. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 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.