• Build and ship applied AI features with the team, contributing from early design through production rollout and ongoing improvements. • Translate user feedback and research prototypes into clear technical requirements and pragmatic delivery plans. • Build LLM-powered workflows such as tool-calling agents, structured output pipelines, retrieval/tool integrations, and safe prompting strategies. • Write production-grade code with clear abstractions, stable interfaces, and robust error handling. • Learn and apply strong testing practices, including unit tests, integration tests, and golden/regression test suites, with guidance from the team. • Help add instrumentation for debugging and iteration, including logging, tracing, and metrics for AI features. • Learn and follow best practices for safe and reliable AI features, including rate limiting, safe input handling, and prompt-injection awareness. • Work closely with AI Engineers and researchers to productionize experiments, define deployment workflows from notebooks to production, and document best practices.

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. About the Job You're Considering Launch your career with Capgemini! As an intern at Capgemini, we will give you the opportunity to learn the fundamental technical skills, knowledge, and core consulting behaviors that are essential for a successful career in technology consulting. In this 8-week internship, you will join an exisiting team within Capgemini to work on exciting Proof of Concept projects leveraging AI, with the goal of providing real, impactful solutions to our clients in various industry sectors. This internship is crafted to provide you with hands-on experience and exposure to various aspects of consulting. If you're looking to develop your skills and launch your career - look no further! Location This is a remote role, with candidates having the ability to operate out of Capgemini facilities in Boston, Chicago, New York, or Atlanta if in close proximity. Your Role Quality Assurance and Testing - Test software and apply quality assurance techniques to ensure that the developed solutions meet client requirements - Gain practical experience in identifying and addressing software bugs and issues Software Development - Participate in coding, programming tasks, and software development activities - Learn from expert developers and give to coding projects under mentorship Data Analysis Support - Assist in data analysis efforts by working with data provided by clients - Contribute to insights and recommendations generation with the mentorship of the team .Data-Driven Decision Support - Learn how data analysis drives decision-making in consulting projects - Contribute to the preparation of data-driven recommendations Your Skills and Experience - Minimum of 3.4 GPA - Pursuing a degree in computer science, software engineering, or a related field and strong curiosity about technology and aptitude to learn and engage - Technical Skills: Java/J2EE, .Net, C++, Python, Web Development Technology (JavaScript, HTML, CSS, JQuery, JSON), cloud APIs (AWS, Azure, GCP) - Knowledge of Machine Learning, Large Language Models and Vision Language Models - Effective soft skills for team collaboration and learning from expert engineers - Attention to detail and an eagerness to contribute to quality assurance efforts - Curiosity about data analysis and its role in decision-making - Ability to manage workload, meet objectives, and provide updates on progress Suggested Skills - Software Engineering, Testing, Functional Architecture Design & Project Financials, KPIs & Reporting The base compensation range for this role in the posted location is: $10,000 for an 8 week intership (~ $31.25/hr equivalent) 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. 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.

Logistics at full potential. At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of. We’re out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As an AI Engineer specializing in Generative AI products, you will design, develop, and deploy GenAI-powered applications that enhance supply chain operations. You will work at the intersection of AI research and engineering, transforming large language models and multimodal systems into scalable, production-ready tools that drive automation, decision-making, and customer experience across GXO’s logistics network. Pay, benefits and more. We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan. What you’ll do on a typical day: - Design, develop, deploy, and maintain AI agents and software that enhance and support supply chain operations and technology. - Apply prompt engineering, Retrieval-Augmented Generation (RAG), LLM orchestration frameworks, MCP/function calling, evaluation techniques, and guardrails to optimize LLM integrations and build AI agents tailored to enterprise use cases. - Ensure software engineering, DevOps, and cybersecurity best practices in development and deployment, including CI/CD pipelines, source control, and secure coding standards. - Design and build, or collaborate with data engineering teams to develop, data models and pipelines that support and feed AI solutions, ensuring scalability, reliability, and data quality. - Develop AI agent software and integrations using Python, SQL, and frameworks such as Flask and FastAPI. - Build agile and portable AI solutions using containerization tools like Docker and Kubernetes. - Collaborate with business and product stakeholders to understand use cases and educate teams on AI capabilities. - Work closely with IT teams (infrastructure, InfoSec, data engineering) to define internal requirements and ensure seamless integration. - Communicate effectively with leadership to secure resources, address issues, and provide project updates. - Take ownership of projects end-to-end with minimal supervision. - Mentor junior engineers on best practices in AI and software development through pair programming, code reviews, and architectural guidance. - Stay current on emerging AI technologies and trends and contribute to the organization’s AI roadmap. At a minimum, you’ll need: - 3–5 years of experience in software engineering, AI/ML engineering, or data science, with at least 1 year focused on agentic AI development. - Hands-on experience with AI agent development frameworks (e.g., Google’s Agent Development Kit, OpenAI Agents SDK). - Knowledge of MCP and A2A protocols. - Strong proficiency in cloud environments (GCP preferred; AWS and Azure acceptable). - Expertise in Python, APIs, SQL, system design, DevOps/AIOps, and familiarity with JavaScript and frontend frameworks. - Experience in monitoring, troubleshooting, and optimizing deployed solutions. - Strong analytical and problem-solving skills. It’d be great if you also had: - Advanced degree in a relevant field. - Experience in advanced AI techniques, such as fine-tuning LLMs or developing custom AI algorithms. - Familiarity with logistics systems (e.g., WMS). - Experience with Snowflake and its ecosystem. - Hands-on experience with GCP Vertex AI Agent Builder. GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

• You will lead operational delivery across AI Engineering: planning, staffing, execution, and shipment of projects • You will translate strategy into executable technical plans, milestones, and resourcing models • You will maintain visibility into project status, risks, dependencies, and delivery health • You will guide execution practices across teams (planning cadences, estimation, delivery reviews, retrospectives, postmortems) • You will ensure production readiness, on-call practices, and incident response processes are in place and improving • You will lead long-term sustainability of AI systems post-launch, including maintenance, monitoring, and ongoing optimization • You will be senior technical authority for AI Engineering and infrastructure decisions • You will guide architecture for agentic AI systems, data platforms, evaluation frameworks, and production services - with a focus on scalability, reliability, security, cost efficiency, and observability • You will establish organizational standards for agent orchestration, memory, and tool use patterns • You will lead cost governance for LLM-based systems (token economics, model selection tradeoffs) • You will define evaluation strategy for LLM and agent-based systems, ensuring measurable performance criteria exist before production deployment • You will partner with Staff and Principal Engineers across SNHU to establish and promote adherence to AI technical standards • You will directly manage engineering and senior technical leads • You will coach managers on delivery, performance, and team development • You will lead staffing, hiring, onboarding and career growth • You will foster a culture of accountability, psychological safety, and continuous improvement • You will partner across SNHU teams, including AI Governance, Product, Data Science, Design, IT, and Academic partners to ensure smooth execution • You will communicate delivery progress, tradeoffs, and constraints to senior leadership • You will help translate technical realities into applicable decisions for senior leadership • You will set expectations and create conditions for AI-augmented development across the organization: tooling decisions, workflow patterns, and evolving standards for how the team uses AI development tools