Chief Engineer – Artificial Intelligence (AI) Applications

General Dynamics Mission Systems, Inc•Dedham, MA

7h•$191,146 - $212,053•Hybrid

About The Position

General Dynamics Mission Systems (GDMS), a market leader and technology innovator, is seeking talented professionals to deliver cutting edge solutions to their DoD customers. GDMS has an immediate opening for the AI Applications Chief Engineer. The team works closely with DoD customers, Government laboratories, and industry partners to develop, deploy, and sustain military systems. The selected candidate will lead the definition of AI-enabled technical strategies and solutions within the Maritime and Strategic Systems line of business, focusing on delivering advanced capabilities through high-reliability, affordable, cyber-resilient systems. This role involves leading the development of technology roadmaps, collaborating with business development to understand customer needs, presenting conceptual solutions, identifying and cultivating innovative AI initiatives, educating stakeholders on AI capabilities, and working with senior engineering management to grow AI capabilities and the workforce.

Requirements

Bachelor's degree in a STEM (Science, Technology, Engineering, Mathematics) related field and at least 10 years of experience working as an AI architect, data scientist, or AI application engineer
OR Master's degree and a minimum of 8 years of experience
Deep learning expertise
Leadership experience
Ability to obtain a Department of Defense (DoD) Top Secret security clearance within a reasonable amount of time after hire, with acceptable timing determined by hiring manager
U.S. citizenship is required
Ability to travel (estimated at 25% to 35%)

Nice To Haves

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
An active Top Secret clearance at time of hire and eligibility for access to Special Access Program Information (SAPI) and Sensitive Compartmented Information (SCI), including willingness to submit to a counterintelligence polygraph

Responsibilities

Lead definition of AI-enabled technical strategies and solutions within our Maritime and Strategic Systems line of business
Lead development of technology roadmaps
Work closely with our business development organization to understand customer needs and present conceptual solutions aligned with GDMS capabilities
Lead the identification and cultivation of innovative AI initiatives
Educate business and technical stakeholders about what AI can and cannot do
Work with senior engineering management to chart the course for growing our AI capabilities and workforce
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
Identifies opportunities to apply AI for continuous improvement and innovation