Configuration / Release Engineer — AI Reliability Engineering

General Dynamics Mission Systems, Inc•Pittsfield, MA

1d•$126,862 - $137,269•Remote

About The Position

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who you are and what we do resonates with you, we invite you to join our high-performance team! AI configuration management is a new discipline. Prompt libraries, model versions, and agent workflows don't fit neatly into traditional CM tools and processes. You will define how it works. In a defense environment, knowing exactly what is in production is not optional. Audit, compliance, and security all depend on configuration accuracy. Your work is the foundation for all of that. You will work across multiple pods and enforce consistency without creating bottlenecks. The goal is control that enables velocity, not control that slows it down.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Systems Engineering, or a related field, plus 8 years of experience
Production experience with configuration management — you have maintained baselines, managed releases, and controlled changes for software systems in production
Experience with CI/CD tools and practices — Git, Jenkins, GitHub Actions, GitLab CI, or similar. You understand pipeline-driven deployment and how to build controls into it.
Experience with versioning and artifact management — you have managed more than just source code; configurations, data assets, documentation, or similar
Strong organizational and documentation skills — your baselines are accurate, your change records are complete, and other people can understand your systems
U.S. citizenship required.
Department of Defense Secret security clearance is required at time of hire.

Nice To Haves

Experience with AI/ML systems — you understand that AI artifacts (models, prompts, training data) require different CM approaches than traditional software
Experience in defense, aerospace, or regulated industries where configuration control has compliance implications
Familiarity with infrastructure-as-code (Terraform, CloudFormation) and container registry management
Experience building or improving CM processes — you have designed a configuration management system, not just operated within one

Responsibilities

Establish and maintain baselines for all AI artifacts — code, prompt libraries, model versions, agent configurations, training datasets, ontologies, policies, and documentation. Every artifact has a version, an owner, and a history.
Coordinate and control releases across pods. Track what version of what is in which environment. Manage promotion from dev through staging to production.
Implement change tracking for all AI artifacts. Every change has a record — what changed, who changed it, who approved it, and why. Support audit and compliance requirements.
Ensure every deployment can be reversed. Build and test rollback procedures so that when something goes wrong in production, recovery is a known process, not an improvisation.
Work with engineers to ensure build, test, and deployment pipelines enforce configuration controls automatically. Controls should be built into the pipeline, not bolted on as a review step.