• As an Applied AI Operator, you’ll be responsible for end-to-end execution and cross-functional leadership of AI-powered/enabled builds. • The projects we work on are significant and impactful enough to fundamentally alter the trajectory of the business (i.e. regular driving of double digit improvements to company-wide KPIs). • You’ll have the opportunity to lead and execute builds that continue to do so. • Our goal for Applied AI is to firmly establish ourselves as a best-in-industry Applied AI team. We need you to help us get there faster. • There exists a massive backlog of AI-solvable problems from every team at Owner.

• Playing a leadership role in an agile delivery team • Leading aspects of the data and analytics lifecycle • Responsible for identifying appropriate technologies and architecting data platforms • Guiding architectural and technical decisions across data engineering solutions • Supporting teams in designing data platforms for AI and machine learning

Type of Requisition: Regular 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 Systems, Artificial Intelligence (AI), Data Science, Machine Learning (ML), Python (Programming Language)Certifications: NoneExperience: 5 + years of related experienceUS 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 one+ years of experience developing products or functional prototypes using RAG and agentic AI technologies, we WANT 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. - 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: Remote - 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 - Flexibility: Full-flex work week to own your priorities at work and at home - 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. #GDITPriority #gditAIJOBS The likely salary range for this position is $147,050 - $198,950. 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: Remote Work Location: Any Location / Remote 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. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. 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 atgdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

• Design and develop NLP applications to power guest–agent interactions. • Build effective text representations to transform natural language into useful features. • Find, implement, and optimize algorithms and tools for NLP tasks. • Train, evaluate, and refine models through statistical analysis and experimentation. • Collaborate with engineers and product teams to integrate AI features into scalable production systems. • Collect and organize large datasets to create event-driven actions and improve conversation insights. • Contribute to enhancing reporting systems with AI-driven analytics and automation. • Stay up-to-date with the rapidly evolving fields of LLMs and machine learning.