General Dynamics Mission Systems (GDMS), a market leader and technology innovator, is seeking talented professionals to deliver cutting edge solutions to our DoD customers.
GDMS has an immediate opening for the AI Applications Chief Engineer. Our team works closely with our DoD customers, Government laboratories, and industry partners to develop, deploy, and sustain military systems in defense of our nation, allies, and partners.
The selected candidate will lead definition of AI-enabled technical strategies and solutions within our Maritime and Strategic Systems line of business. The mission demands we deliver advanced capabilities for our warfighters through high-reliability, affordable, cyber-resilient systems. As the AI Applications Chief Engineer, you will lead development of technology roadmaps and work closely with our business development organization to understand customer needs and present conceptual solutions aligned with GDMS capabilities. In this role, you will be responsible for leading the identification and cultivation of innovative AI initiatives, educating business and technical stakeholders about what AI can and cannot do, and working with senior engineering management to chart the course for growing our AI capabilities and workforce.
In addition to receiving a competitive salary, flexible work environment, generous health and personal benefits, the successful candidate will enhance the skill set of a talented and technically accomplished group of colleagues.
While this position can be fulfilled remotely, proximity to a GDMS office is desirable. Preferred locations include Scottsdale, AZ, Boston, MA, Pittsfield, MA, Bloomington, MN, Greensboro, NC, Pittsburgh, PA, and Manassas, VA.
General Dynamics Mission Systems believes there are several enabling behaviors that will influence your success as a leader. These behaviors will also serve as leading indicators of your performance and growth as a leader and will serve to build trust from your teams, your customer, and the organization. These behaviors are:
• Develop yourself
• Develop others
• Be a team player
• Communicate effectively
• Develop and sustain the relationships you need to be successful
• Shape culture and positively impact the morale, motivation, and engagement of those around you
• Operate at the right level and deliver on your commitments
• Think and act strategically
• Confront reality
• Take reasonable, managed risks
Preferred Qualifications:
• Experienced AI architect with a robust background in Deep Learning (DL), advanced data visualization, software development, and full Machine Learning (ML) lifecycle management
• Experience vetting potential use cases for AI capabilities, implementing viable approaches, and defining/tracking measures of success
• Proficiency in ML and DL frameworks (e.g., TensorFlow, PyTorch) and understanding of validation methods for ML models
• Proficiency in software development, with an emphasis on Python, and experience with distributed version control systems (e.g., Git, GitLab) and DevOps tools (e.g., Docker, Kubernetes)
• Experience with the Linux command line including bash and shell scripting
• Expertise in handling large, complex datasets including image, cyber, NLP, and signal data
• Proven ability to engage and influence customers, understand requirements, present candidate solutions, and adapt solutions to align with evolving needs
• Development and implementation of AI roadmaps in support of mission objectives, including planning and oversight of Independent Research and Development (IRAD) activities aligned with these objectives
• Excellent oral and written communication skills including demonstrated ability to clearly present AI-enabled solutions to customer and company leadership, both technical and programmatic
• Demonstrated success as technical lead on competitive white papers and proposals containing significant AI content
• Experience assessing and managing technical risks and leading the investigation and resolution of high priority technical issues on critical, high visibility programs
• Demonstrated success leading large, distributed, multi-disciplinary teams in developing and delivering cost-effective, AI-enabled solutions to customers
• Working knowledge of AI-related AWS or Azure services
• Familiarity with addressing regulatory compliance (e.g., cyber, legal) as part of deploying AI solutions
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