• Design and Deploy Production AI Agentic Systems: Architect, build, and deploy autonomous AI agents using state-of-the-art frameworks like ADK (Agentic Design Kit) and LangGraph that leverage LLMs to automate code reviews, quality analysis, and development workflow optimization at scale • Architect Advanced Context Engineering Solutions: Design sophisticated context engineering strategies including dynamic context assembly, agentic retrieval patterns, memory systems (episodic and working memory), and multi-hop reasoning pipelines for complex code analysis tasks. • Develop AI-Powered Automation Tools: Build intelligent backend services in Python and Java that leverage GenAI to detect anti-patterns, suggest improvements, and standardize development workflows. • Establish AI-Enhanced Engineering Excellence: Define and implement coding standards and best practices specifically for GenAI systems, including LLM evaluation metrics, guardrails, and responsible AI principles. • Lead AI-Powered Code Reviews: Conduct comprehensive code reviews using state-of-the-art GenAI tools and agents, providing architectural guidance on performance, security, and AI system design. • Innovate with Emerging Technologies: Stay current with rapidly evolving GenAI technologies and integrate cutting-edge capabilities (function calling, tool use, fine-tuning, prompt caching) into production systems. • Mentor on AI Engineering: Coach engineers on GenAI best practices, AI agent design patterns, prompt engineering, and responsible AI development. • Collaborate Across Functions: Partner with product owners, architects, security teams, and stakeholders to ensure AI solutions align with quality standards and business objectives.

Title: Agentic AI Developer (Entry-Level) Location: Bellevue United States 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. Job Title: Agentic AI Developer (Entry-Level) Job Location: Bellevue, WA (Hybrid) About the job you're considering The Entry-Level Agentic AI Engineer role focuses on designing and delivering intelligent, AI driven engineering solutions for Automotive and Aerospace customers. This position blends MBSE, CAD/PLM (3DEXPERIENCE, CATIA, No Magic) expertise with LLM based agent development to enable design automation, knowledge extraction, digital thread integration, and decision support. The role requires strong mechanical engineering fundamentals and hands on experience building scalable, enterprise grade GenAI solutions. Your Role - Design and develop LLM based intelligent agents using Python and modern agent frameworks. - Build AI driven solutions for engineering use cases such as knowledge extraction, design automation, and model transformation. - Develop and integrate MBSE workflows using No Magic / Cameo Systems Modeler and SysML. - Basic knowledge on CATIA V5/V6 and 3DEXPERIENCE automation solutions using EKL, CAA, Python, and macros. - Integrate CAD, MBSE, and PLM systems to enable digital thread and digital engineering workflows. - Develop Retrieval Augmented Generation (RAG) pipelines for engineering knowledge systems. - Design APIs and orchestrate workflows for engineering copilots and assistants. - Collaborate with cross functional teams to architect scalable, enterprise grade engineering solutions. - Develop POCs, technical documentation, and solution architectures for customer engagements. - Support cloud based deployment of AI solutions, primarily on Azure environments. Your Skills and Experience - Bachelor's degree in Mechanical Engineering, Systems Engineering, Computer Science, or related discipline. - Strong mechanical engineering fundamentals with system level understanding. - Basic knowledge of 3DEXPERIENCE platform (ENOVIA, DELMIA, CATIA Engineering & Systems apps). - Python (advanced) for AI agent and automation development. - Experience with LLM agent frameworks (LangChain, LlamaIndex, AutoGen, or similar). - Development of RAG pipelines and domain specific engineering copilots. - REST API development and workflow orchestration. - Exposure to Azure/OpenAI services and LLM deployment or fine tuning. - Familiarity with Git, CI/CD pipelines, Docker, and DevOps basics. - Strong problem solving and analytical skills. - Experience with JIRA, Confluence, and GitHub workflows. - Ability to work independently and collaborate across global teams. - Strong communication and documentation skills. 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.

• Design, develop, and deploy AI agents for real-world use cases • Build end-to-end solutions across frontend and backend systems • Integrate AI models and tools into applications and workflows • Experiment with and implement agent orchestration frameworks (e.g. LangChain, OpenAI Agent SDK) • Collaborate with cross-functional teams to deliver AI-driven features • Continuously improve performance, scalability, and reliability of AI systems

Title: AI Frameworks Engineer (OpenVINO, GenAI) Location: US, Oregon, Hillsboro US, Arizona, Phoenix United States Job Description: Join Intel's OpenVINO team, a critical force in accelerating AI inference from the edge to the cloud. Our mission is to empower developers worldwide by optimizing deep learning models for maximum performance across diverse Intel hardware. You'll be an integral part of the OpenVINO GenAI team, which is at the forefront of enabling efficient and powerful generative AI pipeline deployments. As an AI Frameworks Engineer, you will spearhead the development and enhancement of innovative use cases for OpenVINO GenAI. This exciting role involves diving deep into the architecture of generative models and the OpenVINO ecosystem, implementing new features, and optimizing performance to deliver state-of-the-art inference solutions. Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field with 5+ years of experience. OR - Master's degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field with 3+ years of experience. - Proven experience in Deep Learning architectures, particularly Generative AI models (e.g., Transformers, Diffusion models). - Familiarity with popular AI frameworks such as PyTorch, TensorFlow, or the Hugging Face Transformers library. - Minimum of 5 years of hands-on development experience utilizing C/C++, Python. Preferred Qualifications: - Experience with model optimization techniques (i.e., quantization, pruning). - Demonstrated understanding of multithreading concepts and practical experience in developing the thread-safe code - Strategic problem-solver: You possess the ability to dissect challenging technical problems and devise practical solutions that align with project goals and constraints. - Impactful communicator and cross-functional collaborator: You excel at conveying technical insights clearly and building strong partnerships, thriving in both independent work and collaborative environments. - Effective verbal and written communication skills in English (intermediate level or higher). - Knowledge of the OpenVINO Toolkit or other deep learning inference runtimes (ONNX Runtime, Lite RT, Executorch). - Experience contributing to open-source projects. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and/or schoolwork/classes/research. Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations: US, Arizona, Phoenix Business group: The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Annual Salary Range for jobs which could be performed in the US: $149,750.00-275,580.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.