below marketmost similar roles pay hereabove market
This role pays less than
95%
of similar roles. Most pay
$151,000–$222,125
— the blue band above.
At the midpoint, this role pays about
$138k
versus about
$187k
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 Senior AI Platform & Applications Engineer joins the Growth Systems & Analytics team to transform the Enterprise Growth AI Platform vision into a secure, reliable enterprise capability. This hands-on individual contributor role involves partnering with subject-matter experts to develop prototypes, refining concepts into enterprise-scale applications, and shaping the technical roadmap. You will build and operate shared platform services, including Python services, APIs, and data and AI capabilities. Key responsibilities include managing platform operations, ensuring safe application onboarding, and creating reusable patterns for other developers. Required skills include advanced Python development, experience with LLM APIs, retrieval-augmented generation, and DevSecOps practices like CI/CD and security scanning. You will solve complex problems by translating business requirements into scalable, compliant designs within a production-oriented AI and machine learning environment.
AWS
Kubernetes
Docker
Terraform
Python
CloudFormation
CI/CD
MLOps
Amazon Bedrock
SageMaker
Platform One
RMF
DevSecOps
Infrastructure as Code
Iron Bank
Big Bang
ML Infrastructure
Python
C++
Go
Kubernetes
Distributed Systems
Model Serving
C
Java
Rust
Celery
Sidekiq
Temporal
Container Runtimes
EDA Toolchains
SLA Enforcement
Observability