Note: The job is a remote job and is open to candidates in USA. General Dynamics Mission Systems develops high-technology solutions for defense and scientific missions. The AI Automation Engineer will support the AIOps team by modernizing enterprise systems through intelligent automation, AI-powered infrastructure, agentic AI workflows, and secure deployment pipelines. The role involves integrating AI agents, MCP servers, and automation tooling across infrastructure, CI/CD, and operational systems.
Responsibilities
- 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
- Identifies opportunities to apply AI for continuous improvement and innovation
Skills
- 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
- Due to the nature of work performed within our facilities, U.S. citizenship is required
- Deep expertise in end-to-end automation, from CI/CD pipeline design to self-healing infrastructure, container orchestration, and proactive reliability engineering — increasingly augmented by AI-driven decision-making and agentic automation
- Strong understanding of AIOps principles with operational intelligence embedded at every layer — infrastructure-as-code, automated compliance checks, secure pipeline design, and secure AI integration including OAuth-secured MCP servers and least-privilege agent access patterns
- Experience architecting MCP server ecosystems that allow AI agents to securely query databases, trigger deployments, inspect infrastructure state, and interact with third-party APIs — all governed by robust authentication and authorization
- Experience building custom agent skills and tool definitions that enable AI agents to perform complex, multi-step operations across your AIOps toolchain autonomously and reliably
- Experience working in complex, regulated, or mission-critical environments where Kubernetes, Terraform, automated deployments, and AI-augmented operations are the standard, not the exception
- Agile experience preferred
- Proven experience building end-to-end automation solutions using tools like GitLab CI, Kubernetes, Terraform, and Ansible — not just scripting, but full lifecycle design and implementation
- 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
- You write code to solve problems — if you're doing something manually more than twice, you're already automating it with GitLab CI, Terraform, Ansible, Kubernetes, or an AI agent
- A builder's mindset — you don't maintain the status quo, you transform it with the right tools, the right code, and the right AI agents working alongside your team
- Identifies opportunities to apply AI for continuous improvement and innovation
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)
- 401k matching
- Flex time off
- Paid parental leave
- Healthcare benefits
- Health & wellness programs
- Employee resource and social groups
- This position is fully remote/telework OR Hybrid/Flex as desired.
- A flexible work environment where contributions are recognized and rewarded.
Company Overview