AI Automation Engineer [Remote]

General Dynamics Mission Systems, Inc • ,

3d • $124,397 - $138,003 • Remote

About The Position

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. This position is fully remote/telework OR Hybrid/Flex as desired.

Requirements

• 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.
• U.S. citizenship is required due to the nature of work performed within our facilities.

Nice To Haves

• 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.
• 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.
• 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.

Responsibilities

• 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.
• Build end-to-end automation solutions using tools like GitLab CI, Kubernetes, Terraform, and Ansible.
• Deploy and manage containerized applications with Kubernetes and automate infrastructure provisioning with Terraform and Ansible in an AIOps environment.
• Build and own CI/CD pipelines end-to-end, leveraging GitLab CI and AI-powered tools to automate testing, deployment, and operational workflows.
• Design, deploy, and manage MCP (Model Context Protocol) servers to expose tools, data sources, and APIs as context for AI agents and LLM-powered workflows.
• Build or integrate 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.
• Work with or deploy AI/ML models, LLM-based assistants, and agentic frameworks (e.g., Claude Agent SDK, A2A, ACP, or similar) in production or operational environments.
• Apply AI for continuous improvement and innovation.
• Write code to solve problems, automating tasks that are performed manually more than twice using GitLab CI, Terraform, Ansible, Kubernetes, or an AI agent.
• Design CI/CD pipelines, manage self-healing infrastructure, container orchestration, and proactive reliability engineering, augmented by AI-driven decision-making and agentic automation.
• Embed operational intelligence at every layer, including infrastructure-as-code, automated compliance checks, secure pipeline design, and secure AI integration.
• Architect MCP server ecosystems that allow AI agents to securely query databases, trigger deployments, inspect infrastructure state, and interact with third-party APIs.
• Build custom agent skills and tool definitions that enable AI agents to perform complex, multi-step operations across your AIOps toolchain autonomously and reliably.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level