
Job Overview
Employment Type
Full-time
Compensation
Salary
Range $170,000.00 - $230,000.00
Benefits
Health Insurance
Dental Insurance
Paid Time Off
401K with company match
competitive pay
Career growth opportunities
Military-friendly workplace
Job Description
Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology (GDIT), is a leader in delivering agile IT and intelligence solutions with a focus on innovation and mission success. GDIT is a global technology and professional services company, renowned for providing advanced technology solutions and mission services to major U.S. government agencies, particularly within the defense and intelligence sectors. With over 26,000 experts worldwide, GDIT operates in more than 50 countries, offering cutting-edge capabilities in AI, cloud computing, cybersecurity, and software development. The culture at GDIT emphasizes growth, support, rewards, and community, making it an ideal workplace for professionals passionate about technology and national security. GDIT values innovation, employee well-being, and a military-friendly, inclusive environment.
The Senior Agentic AI/ML Engineer position at Iron EagleX, based in Crystal City, VA, represents a remarkable opportunity to contribute directly to the U.S. defense mission by designing, developing, deploying, and sustaining state-of-the-art AI, machine learning, and agentic AI capabilities. This role plays a key part in delivering advanced analytics, automation, and decision-support tools that enhance mission effectiveness and operational security. Candidates in this role will be trusted with managing the full AI lifecycle, from data preparation and model development to deployment and ongoing sustainment. Their work will involve creating scalable, reliable AI solutions that integrate seamlessly into mission workflows, improving performance and automating complex tasks.
The ideal candidate is an expert in Python programming and proficient with AI/ML libraries and frameworks. They will have extensive experience designing and deploying machine learning models, building AI pipelines, developing agentic AI workflows, and integrating advanced AI models into enterprise systems and applications. Responsibilities include working with structured and unstructured data, developing secure and maintainable systems, designing APIs, and ensuring smooth deployment using containerization and CI/CD pipelines. This role requires deep knowledge of emerging AI model concepts such as prompting, retrieval-augmented generation, tool calling, and multi-step reasoning, alongside practical experience in agentic AI systems that facilitate tasks like tool use, information retrieval, and workflow orchestration under strict security controls.
Furthermore, this position demands strong collaboration with data engineers, software developers, analysts, and stakeholders to deliver mission-focused AI solutions aligned with stringent government standards. Candidates must be U.S. citizens, ideally holding a current TS/SCI clearance with a CI polygraph or willingness to obtain one. The role entails mostly onsite work in Crystal City, VA, with some CONUS travel expected. With a competitive salary range between $170,000 and $230,000, comprehensive benefits, and the chance to work on impactful national security projects, this position is a compelling career prospect for seasoned AI/ML engineers committed to public service and technological advancement.
The Senior Agentic AI/ML Engineer position at Iron EagleX, based in Crystal City, VA, represents a remarkable opportunity to contribute directly to the U.S. defense mission by designing, developing, deploying, and sustaining state-of-the-art AI, machine learning, and agentic AI capabilities. This role plays a key part in delivering advanced analytics, automation, and decision-support tools that enhance mission effectiveness and operational security. Candidates in this role will be trusted with managing the full AI lifecycle, from data preparation and model development to deployment and ongoing sustainment. Their work will involve creating scalable, reliable AI solutions that integrate seamlessly into mission workflows, improving performance and automating complex tasks.
The ideal candidate is an expert in Python programming and proficient with AI/ML libraries and frameworks. They will have extensive experience designing and deploying machine learning models, building AI pipelines, developing agentic AI workflows, and integrating advanced AI models into enterprise systems and applications. Responsibilities include working with structured and unstructured data, developing secure and maintainable systems, designing APIs, and ensuring smooth deployment using containerization and CI/CD pipelines. This role requires deep knowledge of emerging AI model concepts such as prompting, retrieval-augmented generation, tool calling, and multi-step reasoning, alongside practical experience in agentic AI systems that facilitate tasks like tool use, information retrieval, and workflow orchestration under strict security controls.
Furthermore, this position demands strong collaboration with data engineers, software developers, analysts, and stakeholders to deliver mission-focused AI solutions aligned with stringent government standards. Candidates must be U.S. citizens, ideally holding a current TS/SCI clearance with a CI polygraph or willingness to obtain one. The role entails mostly onsite work in Crystal City, VA, with some CONUS travel expected. With a competitive salary range between $170,000 and $230,000, comprehensive benefits, and the chance to work on impactful national security projects, this position is a compelling career prospect for seasoned AI/ML engineers committed to public service and technological advancement.
Job Requirements
- Current TS/SCI clearance with current or willingness to obtain CI polygraph
- 10+ years of related experience
- Bachelor's degree in computer science, software engineering, or a related field or equivalent experience
- Work is onsite in Crystal City, VA with optional CONUS travel
- U.S. citizenship required due to U.S. government contract requirements
Job Qualifications
- Bachelor's degree in computer science, software engineering, or a related field or equivalent experience
- 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 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
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, 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
- 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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