AI Automation Engineer

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General Dynamics Mission Systems

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1952

🚀 Aerospace

🔒 Cybersecurity

📡 Telecommunications

Aerospace • Cybersecurity • Telecommunications

General Dynamics Mission Systems is a business unit of General Dynamics that designs and delivers advanced mission systems, communications, sensors, electronic warfare, cyber security, and integrated command-and-control solutions for military and government customers across land, sea, air, space, and cyber domains. The company provides radios, SATCOM, GPS signal distribution, encryption products, intelligence and signals systems, unmanned and underwater vehicles, radomes and precision structures, platform integration, and warfighter training services. It focuses on engineering hardware and software solutions for defense and national-security missions.

📋 Description

• 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'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. • Identifies opportunities to apply AI for continuous improvement and innovation.

🎯 Requirements

• Requires a Bachelor’s degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field. • Also requires 5+ years of job-related experience, or a Master's degree plus 3 years of job-related experience. • Agile experience preferred. • Hands-on expertise deploying and managing containerized applications with Kubernetes and automating infrastructure provisioning with Terraform and Ansible in an AIOps environment. • Proven experience building end-to-end automation solutions using tools like GitLab CI, Kubernetes, Terraform, and Ansible. • Experience building and owning CI/CD pipelines end-to-end, leveraging GitLab CI and AI-powered tools to automate testing, deployment, and operational 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. • Experience working with or deploying AI/ML models, LLM-based assistants, and agentic frameworks in production or operational environments. • Strong understanding of AIOps principles with operational intelligence embedded at every layer.

🏖️ Benefits

• Competitive benefits, including 401k matching • Flex time off • Paid parental leave • Healthcare benefits • Health & wellness programs • Employee resource and social groups • Flexible schedules with every other Friday off work, if desired (9/80 schedule)