4 weeks ago

Senior Agentic AI/ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Design, develop, deploy, and sustain machine learning, artificial intelligence, and agentic AI capabilities for mission-focused analytics and automation. Lead full AI development lifecycle from data prep to production, collaborating with data/software engineers, while ensuring security, quality, and reliability for critical government applications in Crystal City, VA.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, develop, train, evaluate, and deploy machine learning models to support mission and business use cases.
•Build and maintain robust AI/ML pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
•Design, develop, and integrate 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 information, execute multi-step processes, and interact with external systems under guardrails.
•Collaborate with data engineers, software engineers, analysts, and stakeholders to define requirements and deliver effective AI/ML and agentic solutions.

Travel: Low travel

Key Requirements

•10+ years of related AI/ML engineering experience
•U.S. Citizenship required with current Top Secret/SCI clearance and ability to obtain CI polygraph
•Bachelor’s degree in Computer Science, Software Engineering, or a related field
•Proficiency in Python and commonly used AI/ML libraries; hands-on experience in training, evaluating, and deploying models
•Experience designing agentic AI workflows, prompting, tool calling, API integration, and CI/CD with containers (Docker) and Git

Experience:10+ yearsGovernmentAIMLAgentic AICloud

Education:Bachelor's in Computer Science

Skills:Problem-solvingCommunicationCollaboration

Languages:English

Tech Stack:PythonDockerGitRESTful APIsCI/CD

Eligibility

Nationality:US National

Work Authorization:Authorization required. Sponsorship not provided.

Security Clearance:Top Secret/SCIPolygraph

Company Brief

General Dynamics

Provides IT, systems engineering, cybersecurity, cloud, and mission support services to U.S. federal civilian and defense agencies, delivering large-scale technology solutions and managed services for national security and government operations.

Industry: Defense Technology

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Tysons / Fairfax, United States

Website LinkedIn

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General Dynamics

4 weeks ago

Senior Agentic AI/ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, develop, train, evaluate, and deploy machine learning models to support mission and business use cases.
•Build and maintain robust AI/ML pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
•Design, develop, and integrate 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 information, execute multi-step processes, and interact with external systems under guardrails.
•Collaborate with data engineers, software engineers, analysts, and stakeholders to define requirements and deliver effective AI/ML and agentic solutions.

Travel: Low travel

Key Requirements

•10+ years of related AI/ML engineering experience
•U.S. Citizenship required with current Top Secret/SCI clearance and ability to obtain CI polygraph
•Bachelor’s degree in Computer Science, Software Engineering, or a related field
•Proficiency in Python and commonly used AI/ML libraries; hands-on experience in training, evaluating, and deploying models
•Experience designing agentic AI workflows, prompting, tool calling, API integration, and CI/CD with containers (Docker) and Git

Experience:10+ yearsGovernmentAIMLAgentic AICloud

Education:Bachelor's in Computer Science

Skills:Problem-solvingCommunicationCollaboration

Languages:English

Tech Stack:PythonDockerGitRESTful APIsCI/CD

Eligibility

Nationality:US National

Work Authorization:Authorization required. Sponsorship not provided.

Security Clearance:Top Secret/SCIPolygraph

Company Brief

General Dynamics

Industry: Defense Technology

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Tysons / Fairfax, United States

Website LinkedIn