This role pays more than
62%
of similar roles. Most pay
$176,975–$246,150
— the shaded band above.
At the midpoint, this role pays about
$230k
versus about
$212k
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
1123 open roles
on FindRole.
Listed pay typically runs
$124,093–$150,385
across 984 roles with salary data.
As an Artificial Intelligence & Machine Learning Architect SME, you will join an agile development team to support the Case Management Modernization program. You will be responsible for defining and maintaining scalable, modular AI/ML architectures that align with enterprise cloud strategies. Your daily work involves building end-to-end pipelines including data ingestion, feature engineering, model training, deployment, and monitoring while integrating MLOps best practices for lifecycle management. You will utilize Infrastructure-as-Code tools like Terraform or CloudFormation to manage cloud-based infrastructure in compliance with federal standards. The role requires expertise in Python, Docker, Kubernetes, and frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras. You will also work with MLOps tools like MLflow and Kubeflow while managing multi-tenant workloads across platforms including AWS SageMaker, Azure ML, and GCP Vertex AI to solve complex data challenges.
Artificial Intelligence
Machine Learning
Python
Big Data
Statistical Techniques
Data Transformation
Model Selection
Cross-Validation
System Architecture
Systems Modeling
Simulation
Data Engineering
Remote (Silver Spring, MD)22 days ago
$204,000–$276,000
Artificial Intelligence
Machine Learning
Python
R
Java
TensorFlow
PyTorch
AWS SageMaker
Retrieval-Augmented Generation (RAG)
Agentic AI
AWS Bedrock
Azure AI Foundry
Google Vertex AI
Salesforce
Agentforce
MLOps
Zero Trust
Data Engineering
Cloud Computing