Principal AI Engineer

General Dynamics Information Technology

. Apply AI and machine learning knowledge to build actionable solutions .

Posted 9/15/2026full-timeRemote • United StatesLead💰 $140,250 - $189,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI and machine learning, with a focus on Generative AI and data science best practices. Proven ability to develop actionable solutions, manage client relationships, and translate technical requirements for diverse stakeholders.

Highest-signal resume keywords

AI/ML ExpertiseGenerative AI ProficiencyData Science SkillsClient Relationship ManagementCloud Services Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceMachine Learning AlgorithmsLarge Language Model Fine-TuningData IntegrationData MigrationData AnalysisData VisualizationAI-Assisted ProgrammingAgent-Based AITechnical Proposal Development

Soft Skills

Consultation SkillsCommunication SkillsCollaboration Skills

Tools & Technologies

Cloud Services AIData ServicesAI Security FeaturesPrototyping PlatformsTechnical Implementation Tools

Industry Keywords

AI WorkstreamsCyber Software IntegrationMission Software CollaborationResearch and Development InvestmentsRequirements Gathering

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Apply AI and machine learning knowledge to build actionable solutions
Develop compelling briefings and proposal materials for diverse clientele
Influence research and development investments, technical proposals, and presentations
Plan and execute prototyping and technical implementations
Provide professional consultation to external clients and internal stakeholders
Support implementation of Agentic AI workstreams and platforms
Support implementation of AI Security features and platforms
Collaborate with Cyber and Mission Software teams to integrate AI into their missions
Support development of new capabilities to drive innovation and growth
Utilize LLMs, Generative AI, RAG, Agents, MCP, and related AI methods

Requirements

What you’ll need

Bachelor of Arts/Bachelor of Science
8+ years of related experience
Expertise in AI/ML, Generative AI, and Agent-based AI
Expertise in data science and data engineering best practices, tools, and techniques
Experience with Cloud Services AI and Data Services
Experience with data integration, data migration, analysis, and visualization
Experience in client relationship management and requirements gathering
Ability to translate technical requirements for client and internal stakeholders
Skills in Artificial Intelligence, Generative AI, Data Science, and AI-Assisted Programming
Skills in Large Language Model fine-tuning, Large Language Models, machine learning algorithms, and machine learning methods
No current clearance required
No clearance required to obtain
US citizenship is not required

Benefits

Comp & perks

Comprehensive medical plan options, including plans with Health Savings Accounts
Dental plan options
Vision plan
401(k) plan with pre-tax and post-tax contribution options and company match
Full-flex work weeks where possible
Paid time off, including vacation, sick, personal time, holidays, paid parental, military, bereavement, and jury duty leave
Typically 15 days of paid leave per calendar year
10 paid holidays per year
Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
Short- and long-term disability benefits
Life insurance
Accidental death and dismemberment insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance
AI-powered career tool identifying career steps and learning opportunities
Internal mobility team supporting career goals
Wellness packages
Award-winning culture of innovation and military-friendly workplace