General Dynamics Information Technology - Senior Agentic AI/ML Engineer

AI Engineer is needed in Arlington, United States.

Client: General Dynamics Information Technology

Location: Arlington, VA

Contract: undefined

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.

Requirements

Required Skills

• Proficiency in Python and commonly used AI/ML libraries and frameworks.
• Hands-on experience developing, training, evaluating, and deploying machine learning models.
• Strong understanding of supervised learning, unsupervised learning, model evaluation, feature engineering, and data preprocessing techniques.
• Experience working with structured and/or unstructured data in support of analytics or AI/ML use cases.
• 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.
• Experience designing or supporting AI/ML pipelines and reproducible development environments.
• 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.
• Familiarity with RESTful APIs and integrating AI/ML or agentic AI capabilities into software applications, workflows, or enterprise systems.
• Proficiency with Git-based version control and collaborative software development workflows.
• Familiarity with containerization tools such as Docker.
• Ability to work effectively both independently and collaboratively in a fast-paced environment.
• Strong problem-solving skills and the ability to translate complex technical concepts into practical, secure, and mission-relevant solutions.

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.
• Familiarity with vector databases, semantic search, embeddings, and knowledge retrieval systems.
• Experience evaluating LLM and agentic AI systems using automated evaluations, benchmark datasets, human review, red teaming, or operational performance metrics.
• Experience with cloud-native AI/ML development or deployment environments.
• Experience with Docker and Kubernetes for scalable deployment of AI/ML and agentic AI workloads.
• Familiarity with data engineering concepts, including ETL workflows, data validation, and data pipeline orchestration.
• Experience with relational databases such as PostgreSQL.
• Experience with DevSecOps practices, secure software delivery, or mission-focused software environments.
• Familiarity with AI safety, security controls, data protection, and governance considerations for deployed AI and agentic systems.

What You’ll Need to Succeed

• Clearance: Current TS/SCI Clearance with current or willingness to obtain CI polygraph.
• Experience: 10+ years of related experience.
• Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• Role requirements: Work is onsite in Crystal City, VA with optional CONUS travel.
• Due to US Government Contract Requirements, only US Citizens are eligible for this role.

Additional Information

The likely salary range for this position is $170,000 - $230,000. Salary will be set based on experience, geographic location, and possibly contractual requirements and could fall outside of this range.

Our identity verification process includes advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.

About our work: GDIT is a global technology and professional services company delivering solutions and mission services across various sectors. We operate worldwide, offering leading capabilities in AI, cloud, cyber, and software development.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans