Title: Agentic AI Engineer Location: USA, VA, Falls Church Hybrid Full Part/Time: Full-time Type of Requisition: Pipeline Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: AI Frameworks, AI Ops, Model Evaluation Certifications: None Experience: 5 + years of related experience US Citizenship Required: No Job Description: As an Agentic AI Engineer, you will be responsible for designing, developing and deploying AI models, algorithms and systems to enhance productivity, decision-making and automation within the organization. If you have 1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies, we want to speak with you! MEANINGFUL WORK AND PERSONAL IMPACT As an Agentic AI Engineer, the work you'll do at GDIT will be impactful to the mission. - Architect and implement production-grade multi-agent AI solutions with modern orchestration frameworks, enabling reliable, transparent, and secure agentic workflows - Build and maintain end-to-end agentic AI pipelines, from data ingestion and embedding to deployment and continuous evaluation, optimized for reusability and scalability - Develop, test, and deploy internal AI applications that enhances people-powered, AI-enabled productivity - Provide unified observability with logging, metrics, and alerts and analyze agent runtime behavior to tune latency, accuracy, and cost in production - Integrate agentic AI services with existing enterprise systems and uphold AIOps practices for consistent deployment and scaling - Collaborate with cross-functional teams including data scientists, software engineers, and product / service owners to align AI projects with business goals - Must stay updated on emerging AI related technologies and recommend improvements to existing AI systems WHAT YOU'LL NEED TO SUCCEED Bring your expertise and drive for innovation to GDIT. The Agentic AI Engineer must have: - Education: Bachelor's Degree in Computer Science, Computer Engineering, Data Science or a related field - Experience: - 5+ years of experience in AI and machine learning, including hands-on experience with designing, developing, and deploying AI models and systems. - 1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies. - Must have designed and/or implemented hands-on an agentic workflow solution (not just simply prompt engineering to LLMs) - Role requirements: - Proven track record of delivering end-to-end AI projects and successfully integrating AI solutions into business processes. - Proficiency in programming languages such as Python, R, or Java, and deep understanding of machine learning frameworks like TensorFlow or PyTorch. - Strong hands-on experience with MCP, LangGraph, LlamaIndex, or similar agentic frameworks. - Deep understanding of prompt or context engineering, tool definition, and state management for agents. - Experience with cloud computing platforms, such as Azure (Preferred), OCI, AWS, or Google Cloud, including AI services like Azure AI Foundry, Bedrock, or Vertex AI. - Strong background in working with large datasets and performing data preprocessing, feature engineering, and model evaluation. - Preferred Skills and Abilities: Masters degree. Advanced coursework or a Certification in AI, Machine Learning or related areas desirable - Location: Hybrid 3 days in Falls Church office - US Persons required GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $169,604 - $229,464. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Hybrid Work Location: USA VA Falls Church Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Role Description As an AI Agent Software Engineer Intern, you will combine strong engineering fundamentals, AI-native thinking, and a relentless focus on optimizing next steps for agentic workflows. Help us design and build AI systems that can autonomously plan, reason, and act across tools and services. - Go beyond simple chatbots—AI that can call APIs, orchestrate tools, and complete multi-step tasks with minimal human intervention. - Write clean, tested, optimized, and well-documented code in accordance with established standards. - Design Agentic AI solutions to integrate with cloud platforms, observability systems, CI/CD pipelines, and incident response workflows to reduce time to resolution. - Build evaluations and feedback loops that quantify value in a data-driven way, ensuring new capabilities are genuinely moving the needle. Qualifications - Previous industry and cloud work experience or internship. - Masters in Computer Science. - Systems experience. - Strong understanding of programming fundamentals and test automation. - Proficiency in Python, JSON based APIs, PyTorch, SQL, Linux scripting, and scheduling. - Hands-on experience with cloud platforms (Azure, AWS) and modern infrastructure tooling. - Experience with AI, ML models, Prompt Engineering, RAG, LangChain, Vector Databases, Azure Foundry. - A builder’s mindset. You enjoy iterating and delivering system improvements. - Strong communication and interpersonal skills. Requirements - Interest in AI-driven systems, with experience around LLM-powered applications, reasoning systems, autonomous workflow. Program Details - Dates: June 1st - August 21st. - Opportunity to participate in a large group with other interns across multiple departments. - Mentorship & Coaching Opportunities. - The position is located in Malvern, PA or in Atlanta, GA. Local candidates preferred. Remote candidates will also be considered. Compliance As part of our commitment to maintaining the highest standards of financial integrity, this position may also involve responsibilities related to SOX compliance.

• Build workflows and tooling to analyze customer conversations, sales notes, support interactions, and usage data to identify patterns in customer needs and buying behavior. • Identify emerging themes in how prospects describe their problems and how they evaluate solutions. • Mine calls for common objections and questions, as well as messaging gaps or other opportunities to hone and clarify storytelling. • Use AI models to analyze how Teleport communicates across sales, marketing, and documentation. • Identify opportunities to improve clarity, positioning, and resonance with technical buyers. • Create repeatable processes that allow marketing and field teams to continuously learn from data. • Continuously explore Teleport’s internal data landscape to identify areas where AI can drive meaningful improvement. • Partner with Product Marketing, Sales, Solutions Engineering, and Product teams to ensure insights translate into real-world impact.

Title: AI Engineer Tech Lead - Sports Vertical Location: Remote, United States Hybrid in Chicago, Illinois, United States; Raleigh, NC, United States Full-time Job Description: General Information Career area: Information Technology Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements Role Overview Lenovo's Sports Vertical is seeking an AI Developer to design, build, and deploy NVIDIA-accelerated AI solutions for intelligent venue environments. This role focuses on hands-on development of real-time computer vision systems, GPU-optimized inference pipelines, digital twin integrations, and generative AI applications supporting command centers and immersive fan experiences. The ideal candidate has strong experience working with NVIDIA AI frameworks and production-grade AI deployments in high-performance environments. Key Responsibilities - Develop and deploy computer vision models for real-time video analytics use cases - Build GPU-optimized inference pipelines using NVIDIA DeepStream and TensorRT - Implement and customize NVIDIA Blueprints into production workflows - Integrate NVIDIA Video Search and Summarization (VSS) capabilities into AI platforms - Optimize AI models for performance on NVIDIA GPUs using CUDA acceleration - Support digital twin and simulation workflows leveraging NVIDIA Omniverse - Implement real-time avatar and digital human pipelines using NVIDIA ACE and related technologies - Develop multimodal AI systems combining vision, speech, and generative AI - Deploy AI workloads to edge infrastructure and integrate with operational dashboards - Ensure low-latency, high-availability performance in live operational environments Required Qualifications - Bachelors Degree in Computer Science or related field - 8+ years of AI/ML development experience - Strong Python programming expertise - Hands-on experience with: - PyTorch or TensorFlow - NVIDIA CUDA - NVIDIA DeepStream - TensorRT - NVIDIA Blueprints - Experience building real-time video stream processing pipelines - Experience deploying AI workloads in containerized environments (Docker, Kubernetes) - Strong understanding of GPU performance optimization Preferred Qualifications - Experience with NVIDIA AI Enterprise - Experience with NVIDIA Video Search and Summarization (VSS) - Experience with NVIDIA Omniverse - Experience with NVIDIA ACE (Avatar Cloud Engine) - Experience developing multimodal or generative AI applications - Experience in sports venues, smart infrastructure, or real-time operational environments The base salary range budgeted for this position is $125,000 to $147,000. Individuals may also be considered for bonuses and/or commissions. Lenovo's various benefits can be found at www.lenovobenefits.com. In compliance with Colorado's EPEWA, the expected Application Deadline for this position is 6/15/2026 - this applies to both internal and external candidates This role offers the flexibility to be home-based anywhere in the United States. If you're near our Chicago or Raleigh offices, we follow a friendly hybrid model with three days a week in the office-great for collaboration and connection! We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.