Enterprise AI Platform Architect & Strategy Leader

General Dynamics Corporation; Groton (CT); On-site; USD 140,000 - 190,000; Full time

Job summary

General Dynamics Electric Boat in Groton, CT is seeking an Enterprise AI Engineering & Platforms Manager to bridge business needs and AI deployment at enterprise scale. This hands-on leader will shape AI strategy, architecture, and governance while guiding platform development, security, data, and operations across the organization.

The role requires deep technical vision, experience delivering AI/ML in production, and a proven ability to lead diverse engineering teams within a complex,

Qualifications

• 8+ years of experience with cloud platforms, enterprise infrastructure, APIs, distributed systems, data platforms, networking, identity, security, and observability.
• 4+ years of supervisory experience
• Demonstrated experience building and deploying AI/ML/LLM solutions into production.
• Experience leading enterprise-scale technology initiatives.
• Experience leading highly technical engineering or architecture teams.
• Experience working inside Department of War (DoW) or Defense Industrial Base (DIB) security environments

Responsibilities

• Strong communication skills and the ability to explain highly technical concepts to both engineers and senior business leaders.
• Strong understanding of the infrastructure required to run AI in a large enterprise environment

Skills

Strong communication skills

Experience leading enterprise-scaleเทh

Experience building and deploying AI//

Security and governance in large-scale

DoD/DIB security environments

Education

Bachelor of Science degree in Computer Science, Engineering, Information Systems, or Data Science

Job description

General Dynamics Electric Boat in Groton, CT is seeking an Enterprise AI Engineering & Platforms Manager to bridge business needs and AI deployment at enterprise scale. This hands-on leader will shape AI strategy, architecture, and governance while guiding platform development, security, data, and operations across the organization.

The role requires deep technical vision, experience delivering AI/ML in production, and a proven ability to lead diverse engineering teams within a complex,