below marketmost similar roles pay hereabove market
This role pays less than
85%
of similar roles. Most pay
$184,775–$245,262
— the blue band above.
At the midpoint, this role pays about
$165k
versus about
$215k
for comparable roles.
Based on 240 similar postings.
Employer
About General Dynamics
General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.
General Dynamics currently has
1377 open roles
on FindRole.
Listed pay typically runs
$124,093–$150,385
across 1184 roles with salary data.
The AI Engineer Principal joins the AI Center of Excellence to build actionable solutions and provide professional consultation to internal stakeholders and external clients. This role involves planning and executing prototyping, technical implementations, and developing briefings or proposal materials for diverse clientele. You will support the implementation of Agentic AI workstreams, AI security features, and new capabilities by integrating AI into cyber and mission software teams. Key technical requirements include expertise in Large Language Models, Generative AI, RAG, Agents, MCP, and Machine Learning algorithms. You must possess skills in data science, data engineering best practices, cloud services, data migration, and visualization. The work focuses on bringing Generative and Agentic AI to research and development efforts, existing programs, and new programs to solve complex data challenges.
What does a AI Engineer earn in Virginia?
Median $246150 from 68 postings across 4 companies.
Generative AI
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Agentic AI
RAG
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Docker
Kubernetes
OpenShift
CI/CD
Microservices
Deep Learning
Natural Language Processing
Computer Vision
APIs
Machine Learning
Deep Learning
Python
TensorFlow
PyTorch
Natural Language Processing
Computer Vision
Java
C++
Git
Agile
Data Mining
Data Modeling
Statistical Modeling
Distributed Computing
Neural Networks
CNN
RNN
GAN
LLM Orchestration
RAG
Python
C#
Azure
Microservices
CI/CD
Infrastructure as Code
Containers
APIs
Distributed Systems
Prompt Engineering
Observability
Machine Learning
Agentic AI
C++
Java
JavaScript
C
System Design