Senior AI-Driven Cloud-Native Software Architect

General Dynamics Information Technology, Inc.

United States

Remote

USD 150,000 - 210,000

Full time

3 days ago
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Benefits offered by this job

401K with company match
Comprehensive benefits and wellness

Job summary

General Dynamics Information Technology, Inc. seeks a Senior AI-assisted / Cloud-Native Software Engineer SME who will lead the strategy, architecture, and execution of AI-enabled software development across bold, mission-critical programs.

You will shape practices, tooling, and scalable patterns for enterprise AI-enabled development as a core capability. The role emphasizes hands-on engineering leadership, cross-functional collaboration, and the ability to deliver proof-of-concept solutions

Qualifications

  • 15+ years of progressive software architecture and engineering experience including leading architecture across complex teams.
  • Must be a US Person (needed to access sensitive GDIT enterprise systems)

Responsibilities

  • Lead architecture and engineering best practices across complex, multi-team programs.
  • Architect, engineer and demonstrate customer proof-of-concept solutions.
  • Evaluate and operationalize AI-enabled development tools and platforms.
  • Upskill engineers and scale AI-assisted development enterprise-wide.
  • Drive strategy, operating model, and technical foundations for AI-enabled development.

Skills

Leadership
AI-enabled development
Solution architecture
Cross-functional collaboration
Cloud-native platforms
CI/CD/DevSecOps
Remote collaboration

Education

BA/BS in Computer Science or related field

Tools

Anthropic Claude Code
OpenAI Codex
Google Gemini
GitHub Copilot
LLM frameworks

Job description

General Dynamics Information Technology, Inc. seeks a Senior AI-assisted / Cloud-Native Software Engineer SME who will lead the strategy, architecture, and execution of AI-enabled software development across bold, mission-critical programs.

You will shape practices, tooling, and scalable patterns for enterprise AI-enabled development as a core capability. The role emphasizes hands-on engineering leadership, cross-functional collaboration, and the ability to deliver proof-of-concept solutions

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