Director, AI Assisted Software Engineering

General Dynamics Information Technology

. Build and scale the organization’s AI-Assisted Development capability .

Posted 9/24/2026full-timeRemote • United StatesLead💰 $170,144 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-enabled software development, including the ability to build and scale AI-assisted development capabilities, lead high-performing engineering teams, and implement best practices across the software development lifecycle. Proficient in evaluating and operationalizing AI tools and frameworks while providing architectural guidance and driving organizational change.

Highest-signal resume keywords

AI-Enabled Development WorkflowsTechnical LeadershipFull-Stack DevelopmentCI/CD AutomationArchitectural Guidance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Tool IntegrationFull-Stack DevelopmentPrompt EngineeringCode-Generation ImprovementAgile MethodologiesDevSecOpsTDD/BDDAPI/Web Service DesignQuality Engineering Practices

Soft Skills

CoachingMentorshipCommunicationInfluencing Senior LeadershipOrganizational Change Management

Tools & Technologies

GitHub CopilotAzure AIOpenAI ModelsClaude CodeAngularReactSpring BootDjangoNext.jsTerraform

Certifications & Qualifications

Secret ClearanceBA/BS in Computer Science or Engineering

Industry Keywords

AI-Assisted DevelopmentSDLCAgile EnvironmentsFederal Acquisition ComplianceFedRAMPATOPaaS PlatformsVendor ManagementGovernance Automation

Tech Stack

Tools & technologies

AngularAnsibleAWSAzureDjangoGoogle Cloud PlatformJavaJavaScriptLinuxNext.jsOpenShiftPythonReactSDLCSpringSpring BootSpringBootTerraformUnix.NET

About the role

Key responsibilities & impact

Build and scale the organization’s AI-Assisted Development capability
Establish strategy, operating model, practices, and technical foundations for AI-enabled software development
Transform how teams design, build, test, and deliver software solutions and products
Evaluate and rationalize AI-enabled tools and platforms across the organization
Become the internal expert on AI-enabled tool use and integration
Define best practices and upskill engineering teams
Operationalize AI-assisted development as an enterprise capability for market delivery
Provide technical leadership, architecture, go-to-market support, organizational change management, and hands-on engineering expertise
Define roadmaps, capability models, adoption strategies, and optimized engineering operating models
Identify and implement team composition, sprint planning, code review, and delivery practices
Build developer education programs, playbooks, best practices, and communities of practice
Provide architectural guidance on AI-driven design patterns, quality models, and delivery processes
Drive technical vision, architecture standards, and execution across complex multi-team programs
Lead full SDLC and product lifecycle delivery in agile and hybrid environments
Develop and integrate full-stack software solutions across multiple platforms and frameworks
Translate technical concepts for non-technical stakeholders and influence senior leadership
Drive organizational adoption of emerging AI, development, and architecture trends
Travel less than 10%

Requirements

What you’ll need

BA/BS in Computer Science, Engineering, or related field, or equivalent experience
5+ years of progressive software engineering experience
3–5+ years in technical leadership roles required
Proven experience building and leading high-performing engineering teams, including coaching, mentorship, and capability development
Must be able to obtain and maintain a Secret clearance
US Citizenship required
Strong understanding of AI-enabled development workflows, including prompt engineering, code-generation improvement loops, safety/quality validation, and architectural impacts
Ability to identify, track, and articulate ROI associated with AI and agentic automation
Experience assessing organizational AI-development maturity and defining roadmaps, capability models, and adoption strategies
Direct experience evaluating, selecting, and operationalizing AI-enabled development tools such as GitHub Copilot, Azure AI, OpenAI models, and Claude Code
Hands-on experience with LLM-based frameworks and retrieval-augmented generation (RAG)
Experience identifying, hiring, coaching, and scaling engineers in AI-assisted development techniques
Experience creating developer education programs, playbooks, best practices, or communities of practice
Experience functioning as an internal SME providing architectural guidance
Ability to drive technical vision, architecture standards, and execution across complex, multi-team programs
Experience leading full SDLC and product lifecycle delivery in agile and hybrid environments
Experience implementing CI/CD, DevSecOps, TDD/BDD, automation frameworks, and quality engineering practices
Experience developing solutions within distributed, cross-functional, or geographically dispersed teams
Full-stack development experience across multiple programming languages, including Java, JavaScript, Python, and .NET
Hands-on experience with front-end and back-end frameworks such as Angular, React, Spring Boot, Django, and Next.js
Experience integrating solutions across operating systems and PaaS platforms such as Linux, Unix, RHEL, and OpenShift
Deep experience with API/web service design, secure coding standards, and scalable architectural patterns
Preferred: understanding of Federal acquisition and security compliance, including FedRAMP and ATO implications
Preferred: experience building enterprise AI-assisted development capabilities or platforms
Preferred: experience productizing internal capabilities into customer-facing solutions or services
Familiarity with AWS, Azure, GCP, and related AI/ML services
Experience managing vendor relationships with OEMs and ISVs
Expertise with CI/CD automation, IaC, Policy as Code, and governance automation frameworks such as Terraform and Ansible

Benefits

Comp & perks

Comprehensive medical plan options, including plans with Health Savings Accounts
Dental plan options
Vision plan
401(k) plan with pre- and post-tax contributions and company match
Full-flex work weeks where possible
Paid vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave
Typically 15 days of paid leave per calendar year
10 paid holidays per year
Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
Short- and long-term disability benefits
Life insurance
Accidental death and dismemberment insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance
AI-powered career tool identifying career steps and learning opportunities
Internal mobility team
Wellness packages
Competitive pay
Award-winning culture of innovation
Military-friendly workplace