
Job Overview
Location
Any Location / Remote
Job Type
Full-time
Category
Engineering
Date Posted
March 31, 2026
Full Job Description
đź“‹ Description
- • Design, develop, and deploy agentic AI systems using RAG and modern orchestration frameworks to enhance productivity and automation
- • Build and maintain end-to-end agentic AI pipelines from data ingestion to deployment with continuous evaluation
- • Develop, test, and deploy internal AI applications that enhance people-powered, AI-enabled productivity
- • Provide unified observability with logging, metrics, and alerts to analyze agent runtime behavior
- • Integrate agentic AI services with existing enterprise systems and uphold AIOps practices
- • Collaborate with cross-functional teams including data scientists, software engineers, and product/service owners to align AI projects with business goals
- • Stay updated on emerging AI-related technologies and recommend improvements to existing AI systems
🎯 Requirements
- • Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, or a related field
- • 5+ years of experience in AI and machine learning, including hands-on experience with designing, developing, and deploying AI models and systems
- • 1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies
🏖️ Benefits
- • Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
- • Award-winning culture of innovation and a military-friendly workplace
- • Full-flex work week to own your priorities at work and at home
Skills & Technologies
About General Dynamics Information Technology, Inc.
General Dynamics Information Technology delivers enterprise-scale IT, cloud, cyber, and professional services to U.S. defense, intelligence, health, and civilian agencies. The company designs, integrates, and secures mission-critical systems, from cloud migration and AI analytics to C4ISR networks and health IT platforms. Headquartered in Falls Church, Virginia, it leverages 25,000+ employees across the U.S. to modernize legacy infrastructure, defend against cyber threats, and support data-driven decision-making for national security and public service missions.
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