AI ENGINEER

AI ENGINEER ** Up to 3 Days per week telework! **Own your opportunity to turn data into measurable outcomes for our customers most complex challenges as an AI Engineer. MEANINGFUL WORK AND PERSONAL IMPACT As an AI Engineer, the work youll do at GDIT will be impactful to the mission of a mission-critical customer. You will play a crucial role in designing, prototyping, and integrating AI-enabled capabilities into an existing mission - critical tool. Support the application of existing large language models (LLMs) to real mission workflows rather than training new models. Collaborate with system and software engineers Build agentic solutions, systems of coordinated AI agents and prompts that automate tasks currently performed manually, streamline authoring and reporting workflows, and enhance the overall effectiveness of intelligence operations.WHAT YOULL NEED TO SUCCEEDBring your expertise and drive for innovation to GDIT. The AI Engineer must have: Education, Bachelor of Arts/Bachelor

of Science Experience, 8+ years of related experience Security clearance level: TS/ SCI W/ Polygraph US citizenship required Responsibilities:Agentic Solution Design & Development: Lead the design and development of AI-driven solutions from conception to deployment, building multi-agent workflows in which coordinated agents and prompts work together to produce outputs supporting reporting and dissemination. This includes prototyping, writing production-quality code, and maintaining deployed AI capabilities.LLM Integration: Integrate existing foundation models into the RAD architecture via APIs and orchestration frameworks, selecting the right model and approach for each task rather than building models from scratch.Prompt Engineering & Workflow Automation: Design, test, and refine prompts and agent instructions to reliably automate manual tasks, and decompose complex mission workflows into discrete steps an agent pipeline can execute.Evaluation & Reliability: Develop robust testing, evaluation, and validation strategies for AI-generated outputs, ensuring accuracy, consistency, and appropriate handling of edge cases before outputs reach analysts and reports.Collaboration & Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.Continuous Improvement: Stay current with the rapidly evolving LLM and agentic AI landscape (new models, orchestration frameworks, and tooling), continuously identifying practical opportunities to apply emerging capabilities to the system. Required Technical Skills:Strong Python development skills, with experience writing production-quality, maintainable codeHands-on experience building applications on top of existing LLMs (e.g., via APIs for commercial or self-hosted models)Experience designing multi-agent or multi-step AI workflows, including prompt chaining, tool use, and agent orchestration (e.g., LangChain, LlamaIndex, or custom frameworks)Strong prompt engineering skills and experience evaluating/validating LLM outputsExperience integrating AI capabilities into existing software architectures (RESTful APIs, microservices)Experience with the Amazon Web Services (AWS) cloud computing platform Desired Technical Skills:Experience with retrieval-augmented generation (RAG) pipelines and vector databasesFamiliarity with LLM observability and evaluation toolingExperience conducting exploratory data analysis on structured and unstructured datasets to prepare inputs for AI workflowsFamiliarity with MLOps/LLMOps practices for deploying and monitoring AI capabilities at scaleFamiliarity with domain knowledge surrounding government agency reporting and dissemination policiesGDIT IS YOUR PLACEAt 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 workplaceOWN YOUR OPPORTUNITYExplore a career in data science and engineering at GDIT and youll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. #MD_Alumni2026 #IntelligenceEngineered #praxisjobs