Overview
Remote
On Site
USD 186,501.00 - 206,900.00 per year
Full Time
Skills
Science
Mathematics
Recruiting
Security Clearance
SAPI
Counterintelligence
DoD
Military
Business Development
Engineering Management
Mergers and Acquisitions
Motivation
Deep Learning
Data Visualization
Lifecycle Management
Use Cases
TensorFlow
PyTorch
Machine Learning (ML)
Software Development
Python
Version Control
Git
GitLab
DevOps
Docker
Kubernetes
Linux
Command-line Interface
Bash
Shell Scripting
Natural Language Processing
Roadmaps
Research and Development
IRAD
Communication
Leadership
IT Management
Management
Amazon Web Services
Microsoft Azure
Regulatory Compliance
Legal
Artificial Intelligence
Dynamics
Innovation
Honesty
Job Details
Basic Qualifications
Requires a 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. Applicants with a Master's degree and a minimum of 8 years of experience are also eligible. Must have deep learning expertise and leadership experience.
Candidates must be able 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. 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, are desirable. Due to the nature of work performed in our facilities, U.S. citizenship is required.
Ability to travel is required. Travel is estimated at 25% to 35%.
Responsibilities for this Position
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
Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $186,501.00 - USD $206,900.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Requires a 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. Applicants with a Master's degree and a minimum of 8 years of experience are also eligible. Must have deep learning expertise and leadership experience.
Candidates must be able 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. 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, are desirable. Due to the nature of work performed in our facilities, U.S. citizenship is required.
Ability to travel is required. Travel is estimated at 25% to 35%.
Responsibilities for this Position
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
Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $186,501.00 - USD $206,900.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.