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Senior Agentic AI/ML Engineer
General Dynamics Information Technology —Arlington, VA
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Senior Agentic AI/ML Engineer

General Dynamics Information Technology -
Arlington, VA

Apply Now

Job Details

$170,000 - $230,000 a year

Benefits

Internal mobility program
Paid time off
401(k) matching

Qualifications

AI models
Containerization systems
Systems integration
Data Integration (Data management)
Continuous Delivery (CD) implementation
Tooling
Git
AI platforms (beyond public GPTs)
Computational framework
Enterprise software systems development
Prompt engineering
Maintaining data pipelines
Machine intelligence
Model deployment
Version control systems
Supervised learning
Developing large-scale AI models
Implementing APIs
Natural language processing
Model training
DevOps automation
AI-driven automation
Unsupervised learning
Benchmarking
Machine learning libraries
Model evaluation
Machine learning frameworks
Design (software development lifecycle)
MLOps
Feature engineering

Full Job Description

Your Impact

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.

Job Description

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.

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.

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.

Establish and maintain reproducible environments, CI/CD workflows, and container-based deployments using tools such as Docker.

Work with structured and unstructured data sources to ensure data quality, integrity, usability, and performance.

Implement and maintain version control using Git to streamline collaboration and code management.

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

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

GDIT IS YOUR PLACE
At 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, competitive pay and paid time off

Community: Award-winning culture of innovation and a military-friendly workplace

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

Work Requirements

Years of Experience

10 + years of related experience

may vary based on technical training, certification(s), or degree

Certification

Travel Required

10-25%

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $170,000 - $230,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Apply Now

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