
Job Overview
Employment Type
Full-time
Compensation
Salary
Range $170,000.00 - $230,000.00
Benefits
Health Insurance
Dental Insurance
Vision Insurance
401k plan
Paid Time Off
employee wellness program
competitive salary
Job Description
General Dynamics Information Technology (GDIT) is a global technology and professional services company dedicated to delivering innovative technology solutions and mission services to every major U.S. government, defense, and intelligence community agency. With a strong workforce of 26,000 experts operating across more than 50 countries worldwide, GDIT leverages the power of technology to bring immediate value and cutting-edge solutions to critical operations. Known for its mission-ready capabilities in areas such as artificial intelligence, cloud computing, cybersecurity, and software development, the company prioritizes providing secure, reliable, and scalable solutions that meet the evolving needs of government agencies and their mission objectives. At its wholly owned subsidiary, Iron EagleX (IEX), GDIT combines the agility of small teams with global reach, focusing on deploying advanced IT and intelligence solutions that empower organizations to operate smarter, faster, and more securely in dynamic environments.
The Senior Agentic AI/ML Engineer role at Iron EagleX, located in Crystal City, VA, offers a unique opportunity for experienced professionals to contribute meaningfully to the national defense mission. This position involves the design, development, deployment, and sustainment of machine learning, artificial intelligence, and agentic AI systems that enhance advanced analytics, automation, and mission-critical decision-making processes. Ideal candidates will be deeply involved across the AI development lifecycle, from data preparation and model training to agentic workflow design, system evaluation, and operational deployment. The position requires proficiency in creating reliable, scalable AI and ML solutions that transform complex data and emerging AI concepts into actionable capabilities, fostering improved workflows and automated processes that support and protect U.S. defense operations.
As a Senior Agentic AI/ML Engineer, you will play a pivotal role in advancing the Department of War's mission to ensure the safety and security of the United States. Your work will directly influence critical government operations by building practical AI systems capable of reasoning over tasks, using tools, retrieving pertinent information, executing multi-step processes, and interfacing securely with external systems under stringent controls and guardrails. Collaboration with data engineers, software engineers, analysts, and key stakeholders is vital to clearly define requirements and deliver AI-powered solutions with high standards for security, quality, explainability, and maintainability.
The role offers opportunities to engage with the latest AI technologies, including language models, prompting techniques, retrieval-augmented generation, and agentic design patterns. Additionally, candidates will contribute to building AI/ML pipelines, developing APIs, establishing CI/CD workflows, and deploying containerized solutions using tools like Docker. With an expected salary ranging between $170,000 and $230,000, this full-time, onsite position is complemented by a comprehensive array of benefits and the chance to work alongside a military-friendly employer that values innovation and individual growth. Candidates must hold or be willing to obtain a TS/SCI clearance with a CI polygraph, possess at least 10 years of related experience, and be U.S. citizens. There is an optional travel requirement of 10-25%, reflecting the dynamic nature of the work environment.
Joining GDIT means embracing a culture where mission, people, and innovation converge. The company supports career growth with AI-powered tools, internal mobility teams, and wellness programs that include 401(k) plans with company match, competitive pay, paid time off, and more. By becoming a part of this team, you contribute directly to strengthening national security while advancing your own professional development in a collaborative, fast-paced setting where technology delivers real-world impact.
The Senior Agentic AI/ML Engineer role at Iron EagleX, located in Crystal City, VA, offers a unique opportunity for experienced professionals to contribute meaningfully to the national defense mission. This position involves the design, development, deployment, and sustainment of machine learning, artificial intelligence, and agentic AI systems that enhance advanced analytics, automation, and mission-critical decision-making processes. Ideal candidates will be deeply involved across the AI development lifecycle, from data preparation and model training to agentic workflow design, system evaluation, and operational deployment. The position requires proficiency in creating reliable, scalable AI and ML solutions that transform complex data and emerging AI concepts into actionable capabilities, fostering improved workflows and automated processes that support and protect U.S. defense operations.
As a Senior Agentic AI/ML Engineer, you will play a pivotal role in advancing the Department of War's mission to ensure the safety and security of the United States. Your work will directly influence critical government operations by building practical AI systems capable of reasoning over tasks, using tools, retrieving pertinent information, executing multi-step processes, and interfacing securely with external systems under stringent controls and guardrails. Collaboration with data engineers, software engineers, analysts, and key stakeholders is vital to clearly define requirements and deliver AI-powered solutions with high standards for security, quality, explainability, and maintainability.
The role offers opportunities to engage with the latest AI technologies, including language models, prompting techniques, retrieval-augmented generation, and agentic design patterns. Additionally, candidates will contribute to building AI/ML pipelines, developing APIs, establishing CI/CD workflows, and deploying containerized solutions using tools like Docker. With an expected salary ranging between $170,000 and $230,000, this full-time, onsite position is complemented by a comprehensive array of benefits and the chance to work alongside a military-friendly employer that values innovation and individual growth. Candidates must hold or be willing to obtain a TS/SCI clearance with a CI polygraph, possess at least 10 years of related experience, and be U.S. citizens. There is an optional travel requirement of 10-25%, reflecting the dynamic nature of the work environment.
Joining GDIT means embracing a culture where mission, people, and innovation converge. The company supports career growth with AI-powered tools, internal mobility teams, and wellness programs that include 401(k) plans with company match, competitive pay, paid time off, and more. By becoming a part of this team, you contribute directly to strengthening national security while advancing your own professional development in a collaborative, fast-paced setting where technology delivers real-world impact.
Job Requirements
- Current TS/SCI clearance or willingness to obtain CI polygraph
- 10 plus years of related experience
- Bachelor’s degree in computer science, software engineering, or a related field or equivalent experience
- Work onsite in Crystal City, VA with optional CONUS travel
- U.S. citizenship required
- Ability to work independently and collaboratively
- Strong problem-solving skills
- Proficiency in Python programming
- Familiarity with AI/ML libraries and frameworks
- Experience with AI/ML pipeline development and deployment
Job Qualifications
- Bachelor’s degree in computer science, software engineering, or a related field or equivalent experience
- At least 10 years of related experience in AI/ML engineering
- Proficiency in Python and commonly used AI/ML libraries and frameworks
- Strong understanding of supervised learning, unsupervised learning, model evaluation, feature engineering, and data preprocessing techniques
- Experience with structured and 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 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
- Proficiency with Git-based version control and collaborative 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 ability to translate complex technical concepts into practical, secure, and mission-relevant solutions
Job Duties
- Design, develop, train, evaluate, and deploy machine learning models to support mission and business use cases
- Develop clean, maintainable, and efficient Python code while adhering to best practices and coding standards
- 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, retrieval-augmented generation, 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
- Collaborate with data engineers, software engineers, analysts, and stakeholders to define requirements and deliver effective AI/ML and agentic AI solutions
Job Criteria
Experience
Expert Level (7+ years)
Job Location
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