• Provide technical leadership for our DoD/ National Security (NS) Sector • Support contract delivery and operations, business development, and proposal development • Lead the development of comprehensive solutions ranging from development of IT applications, enterprise services, O&M modernization, digital transformation, and other technical areas. • Create white papers, proposals, and briefings demonstrating the thought leadership capabilities of the organization • Assist capture strategy development through technical leadership, including the creation and marketing of discriminating value propositions • Conduct pre-sales engineering activities, to include engaging directly with customers in combination with our Business Development teams • Own one or more sections of a proposal across a diverse range of topics • Assist in the development of capabilities across multiple accounts within the business • Support program management and business development reviews and assist in improving performance of existing projects as required • Meet with customers when needed to brainstorm solutions and/or alternative solutions

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 Job Title: Teamcenter Agentic Engineer Job Location: Remote (Anywhere across USA) About the job you’re considering As an Agentic Engineer, you will be at the forefront of developing AI systems that can act autonomously on behalf of users. You will collaborate with cross-functional teams to design, develop, and implement AI agents that can perform tasks, make decisions, and solve problems with minimal human intervention. Your Role - Designing and developing autonomous AI agents using state-of-the-art frameworks and technologies on PLM Platform and Frameworks - Implementing and optimizing machine learning models and algorithms for agentic ai tools to develop end to end AIDLC processes - Creating and maintaining documentation for AI agent architectures and implementations - Collaborating with PLM domain experts to enhance the developed agentic capabilities - Testing and validating AI agent performance across various scenarios and environments - Staying current with the latest advancements in AI agent technologies and methodologies Your Skills and Experience - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related technical field - Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or similar technologies - Experience with programming languages such as Python, Java, or C++ - Experience in using Market leading GenAI tools like GitHub CoPilot, Microsoft CoPilot especially their Agentic AI capabilities - Understanding of Large Language Models (LLMs) and their applications in agentic systems - Familiarity with AI agent frameworks such as LangChain, AutoGPT, or similar technologies - Understanding of Product Lifecycle Management (PLM) concepts and workflows - Hands On Experience with such as Siemens Teamcenter configuration and customization is preferred - Familiarity with configuration management and change management within PLM systems is preferred - Experience integrating AI capabilities with PLM platforms for enhanced decision support is preferred - Strong analytical thinking and problem-solving abilities - Excellent written and verbal communication skills - Ability to work effectively in cross-functional teams - Self-motivated with a growth mindset and eagerness to learn - Adaptability to rapidly evolving technologies and requirements - Attention to detail and commitment to delivering high-quality work - Interpersonal skills and teamwork orientation - Proactive approach to tasks and challenges - Customer Service orientation The base compensation range for this role in the posted location is: $46,400 - $111,090/year. 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.

• Design, develop, and maintain platform services and infrastructure at the core of the COS organization • Build internal tools, frameworks, and abstractions to improve developer experience and productivity • Evolve our cloud infrastructure (AWS), ensuring scalability, reliability, and cost optimization • Implement and maintain CI/CD pipelines, deployment systems, and observability tooling • Establish best practices for reliability, security, and performance • Lead initiatives around system resilience, incident response, and availability improvements • Promote adoption and standardization of infrastructure-as-code (e.g., Pulumi, Terraform, or similar tools)

• Conduct deep technical discovery in selected strategic accounts to assess platform readiness, evaluate constraints, and identify high-value adoption opportunities across GitLab and GitLab Duo Agent Platform. • Lead architecture and delivery design for complex enterprise environments where platform migration, regulated requirements, and product boundaries intersect. • Partner with customer stakeholders and GitLab account teams to prioritize use cases based on business impact, technical feasibility, repeatability, and long-term platform value. • Design and build bounded proofs, prototypes, deployment patterns, and reusable accelerators across source code management, CI/CD, security, compliance, and AI-enabled workflows. • Architect self-managed and enterprise deployments, including runners, access controls, network boundaries, observability, AI Gateway, model connectivity, and governance controls. • Turn recurring field patterns into reusable assets such as runbooks, templates, design notes, technical guidance, product briefs, and reference architectures that can be used across accounts. • Contribute code, technical designs, or architecture changes when strategically necessary, in partnership with product and engineering, to address blockers that should be solved upstream. • Travel as needed for strategic customer engagements, architecture workshops, and team coordination, with expected travel up to 50%.