AI Automation Engineer

Role Description

As an AI Automation Engineer for our AIOps team, you'll be a core member of a high-performing, cross-functional team responsible for modernizing critical enterprise systems through intelligent automation, AI-powered infrastructure, agentic AI workflows, and secure, scalable deployment pipelines. You won't just write scripts — you'll engineer complete automation solutions from the ground up, integrating AI agents, Model Context Protocol (MCP) servers, and intelligent tooling into every layer of the stack.

Qualifications

• Bachelor’s degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field.
• 5+ years of job-related experience, or a Master's degree plus 3 years of job-related experience.
• Agile experience preferred.
• U.S. citizenship required due to the nature of work performed within our facilities.

Requirements

• Proven experience building end-to-end automation solutions using tools like GitLab CI, Kubernetes, Terraform, and Ansible.
• Hands-on expertise deploying and managing containerized applications with Kubernetes and automating infrastructure provisioning with Terraform and Ansible in an AIOps environment.
• Experience building and owning CI/CD pipelines end-to-end, leveraging GitLab CI and AI-powered tools to automate testing, deployment, and operational workflows.
• Experience designing, deploying, and managing MCP (Model Context Protocol) servers to expose tools, data sources, and APIs as context for AI agents and LLM-powered workflows.
• Familiarity with OAuth 2.0 / OpenID Connect authentication flows within MCP servers, including token management, scoped permissions, and secure delegation of access to downstream services.
• Hands-on experience building or integrating AI agent skills — defining tool-use capabilities, orchestrating multi-step agentic workflows, and enabling agents to autonomously interact with infrastructure, CI/CD pipelines, and operational systems.
• Experience working with or deploying AI/ML models, LLM-based assistants, and agentic frameworks (e.g., Claude Agent SDK, A2A, ACP, or similar) in production or operational environments.
• Understanding of prompt engineering, retrieval-augmented generation (RAG), and how to ground AI agents with real-time enterprise context via MCP or similar protocols.

Benefits

• An exciting career path with opportunities for continuous learning and development.
• Research oriented work, alongside award winning teams developing practical solutions for our nation’s security.
• Flexible schedules with every other Friday off work, if desired (9/80 schedule).
• Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more.

Company Description

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. We value trust, honesty, alignment and transparency, and offer highly competitive benefits.