Lead Software Architect, AI Reliability Engineering (AIRE)

General Dynamics Mission Systems is a leader in advanced technology solutions, committed to supporting national security. The Lead Software Architect in AI Reliability Engineering will oversee the design and development of complex software systems, applying advanced engineering principles and technology to meet customer missions.

Responsibilities:

• Ready to be a leader with the company that is committed to pushing the limits of truly advanced technologies? At General Dynamics Mission Systems, we create the products and services that help our service members, intelligence analysts and first responders keep our nation safe. The work we do is so advanced, it’s often classified. If you want to put your talent in the spotlight, it’s waiting for you right now, right here
• We apply advanced technologies such as Artificial Intelligence, Blockchain, AR/VR, Cloud Native and Quantum Physics to solve our customers’ missions in cyber, RF, undersea, interstellar and everything in between
• As the Senior Distinguised Member of our technical staff, you’ll apply advanced principles of engineering and management to solve complex problems in the development of technology
• As a leader, you’ll oversee and manage design and development processes as they relate to the engineering of products utilizing principles and technology of physics, mathematics, engineering, and related physical sciences. It’s engineering that sets the standard for the world. Are you ready?
• Technologies that aren’t just top-notch, they’re often top-secret
• A team of bold thinkers committed to exploring what’s next
• Opportunities to gain new knowledge - as it’s discovered

Requirements:

• Requires a Bachelor's degree in Electrical Engineering, or a related Science, Engineering or Mathematics field
• Requires 15+ years of job-related experience, or a Master's degree plus 13 years of job-related experience
• Department of Defense Secret security clearance is required at time of hire
• U.S. citizenship is required
• Bachelor's degree in Software Engineering, Computer Science, or a related technical field, plus a minimum of 10 years of relevant experience; or Master's degree plus a minimum of 8 years of relevant experience
• Demonstrated expertise in designing and building large-scale, distributed software systems
• Extensive hands-on experience with modern programming languages such as Python
• Significant experience in system architecture, data modeling, and API design
• Exceptional leadership and communication skills
• Recognized as an expert in your field
• Ability to anticipate technology, process, and skill needs
• A true passion for innovation and a track record of using technology to solve complex problems in novel ways
• Deep understanding of Site Reliability Engineering (SRE) concepts and a passion for building highly available and performant systems
• Experience with AI/ML concepts and/or direct experience with AI-assisted development tools
• Expertise in DevOps/MLOps, CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code
• Experience migrating complex, legacy enterprise systems to modern architectures
• Exceptional ability to mentor and inspire other engineers
• Excellent problem-solving skills and the ability to navigate technical and organizational ambiguity