Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure.
YOUR IMPACT
Own your opportunity to work with the largest government agency in the nation. Make an impact by advancing the Department of War’s mission to keep our country safe and secure.
OUR COMPANY
Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology (GDIT), delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.
JOB DESCRIPTION
Iron EagleX is seeking a Senior Agentic AI/ML Engineer to support our AI team in Crystal City, VA. This role will design, develop, deploy, and sustain machine learning, artificial intelligence, and agentic AI capabilities that support advanced analytics, automation, and mission-focused decision-making. The AI/ML Engineer will work across the full AI development lifecycle, including data preparation, model development, agentic workflow design, evaluation, integration, deployment, and operational sustainment.
MEANINGFUL WORK AND PERSONAL IMPACT
As a Senior Agentic AI/ML Engineer, you will be a core member of the AI team responsible for building practical, reliable, and scalable AI, machine learning, and agentic AI solutions. You will help transform complex data, emerging AI concepts, and mission needs into production-ready capabilities that improve workflows, enhance analytics, automate complex tasks, and support mission outcomes.
JOB DUTIES (INCLUDE BUT ARE NOT LIMITED TO)
Design, develop, train, evaluate, and deploy machine learning models to support mission and business use cases.
Build and maintain AI/ML pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
Design, develop, and integrate modern AI model capabilities into applications and workflows, including prompting, tool calling, RAG, structured outputs, and agentic patterns.
Develop and support agentic AI workflows that can reason over tasks, use tools, retrieve relevant information, execute multi-step processes, and interact with external systems under defined controls and guardrails.
Evaluate agentic systems for accuracy, reliability, safety, task completion, tool-use effectiveness, latency, and operational suitability.
Support the development of AI-enabled applications, analytics tools, automation capabilities, and decision-support systems.
Collaborate with data engineers, software engineers, analysts, and stakeholders to define requirements and deliver effective AI/ML and agentic AI solutions.
Design, develop, and integrate APIs, services, and external tools to enable AI/ML and agentic capabilities within larger software systems.
Work with structured and unstructured data sources to ensure data quality, integrity, usability, and performance.
Ensure all developed solutions meet high standards for security, quality, reliability, explainability, and maintainability.
Contribute to all stages of the AI/ML, agentic AI, and software development life cycles, from concept and experimentation through testing, deployment, monitoring, and sustainment.
REQUIRED SKILLS
Strong understanding of supervised learning, unsupervised learning, model evaluation, feature engineering, and data preprocessing techniques.
Familiarity with modern AI and language model concepts, including prompting, embeddings, retrieval-augmented generation, structured outputs, tool calling, and model evaluation.
Experience designing, developing, or integrating agentic AI workflows or applications using LLMs, tools, APIs, memory, retrieval, and multi-step task execution.
Understanding of agentic AI concepts, including task planning, goal decomposition, tool selection, orchestration, human-in-the-loop review, guardrails, and evaluation of agent behavior.
Understanding of MLOps concepts, including model versioning, experiment tracking, model registry, CI/CD, monitoring, and deployment of ML-enabled systems.
Familiarity with LLMOps or agent operations concepts, including prompt/version management, evaluation datasets, observability, traceability, safety controls, and monitoring of deployed AI systems.
DESIRED SKILLS
Experience with PyTorch, TensorFlow, scikit-learn, MCP, Google ADK, A2A, LangChain, LangGraph, or similar AI/ML and agentic AI frameworks and tools.
Experience building or supporting LLM-powered applications, including chat-based interfaces, agentic workflows, tool calling, retrieval-augmented generation, workflow automation, or multi-agent systems.
Experience designing agents that interact with external tools, APIs, databases, knowledge bases, or enterprise systems.
Familiarity with agentic design patterns such as planner-executor, router, evaluator, reflection, tool-using agents, multi-agent collaboration, and human-in-the-loop escalation.
Experience evaluating LLM and agentic AI systems using automated evaluations, benchmark datasets, human review, red teaming, or operational performance metrics.
Familiarity with data engineering concepts, including ETL workflows, data validation, and data pipeline orchestration.
Familiarity with AI safety, security controls, data protection, and governance considerations for deployed AI and agentic systems.
WHAT YOU’LL NEED TO SUCCEED
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
OWN YOUR OPPORTUNITY
Explore a career at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results. #iexjobs #iexpriority
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
#iexjobs
