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LouisianaNOW.Jobs

Director, AI Assisted Software Engineering

LouisianaNOW.Jobs

. Build and scale GDIT’s AI-Assisted Development capability .

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

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI-enabled software development, including the ability to establish operational models, lead technical teams, and implement best practices for AI-assisted development. Proficient in full SDLC, CI/CD, and agile methodologies, with a strong focus on architectural guidance and organizational change management.

Highest-signal resume keywords
AI-Enabled Development WorkflowsTechnical LeadershipFull SDLC DeliveryCI/CD ImplementationArchitectural Guidance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
JavaJavaScriptPython.NETAngularReactSpring BootDjangoNext.jsAPI/Webservice Design
Soft Skills
CoachingMentorshipCommunicationInfluencing Senior LeadershipTeam Building
Tools & Technologies
GitHub CopilotAzure AIOpenAI ModelsClaude CodeLinuxUnixRHELOpenShiftAWSAzure
Certifications & Qualifications
Secret Clearance
Industry Keywords
AI-Assisted DevelopmentDevSecOpsTDDBDDAutomation FrameworksQuality EngineeringFederal Acquisition ComplianceFedRAMPATOGovernance Automation

Tech Stack

Tools & technologies
AngularAnsibleAWSAzureDjangoGoogle Cloud PlatformJavaJavaScriptLinuxNext.jsOpenShiftPythonReactSDLCSpringSpring BootSpringBootTerraformUnix.NET

About the role

Key responsibilities & impact
  • Build and scale GDIT’s AI-Assisted Development capability
  • Establish strategy, operating model, practices, and technical foundations for AI-enabled software design, development, testing, and delivery
  • Evaluate and rationalize AI-enabled tools and platforms across the organization
  • Serve as the internal expert on AI-enabled tool use and integration
  • Define best practices and upskill engineers
  • Operationalize AI-assisted development as an enterprise capability for market delivery
  • Provide technical leadership, architecture, go-to-market support, and organizational change management
  • Assess organizational AI-development maturity and define roadmaps, capability models, and adoption strategies
  • Define and implement operational models covering team composition, sprint planning, code reviews, and delivery optimization
  • Identify, hire, coach, and scale engineers
  • Create developer education programs, playbooks, best practices, and communities of practice
  • Provide architectural guidance on AI’s impact on 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
  • Implement operational and engineering standards including CI/CD, DevSecOps, TDD/BDD, automation frameworks, and quality engineering
  • Develop solutions within distributed, cross-functional, and geographically dispersed teams
  • Productize internal capabilities into customer-facing solutions or services
  • Manage vendor relationships with OEMs and ISVs
  • Drive organizational adoption of emerging AI, development, and architecture trends

Requirements

What you’ll need
  • BA/BS in Computer Science, Engineering, or related field (or equivalent experience)
  • 5+ years of progressive software engineering experience with 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 patterns, code-generation improvement loops, safety/quality validation, architectural impacts, and ROI tracking for AI and agentic automation
  • Ability to assess organizational AI-development maturity and define roadmaps, capability models, adoption strategies, and new operational models
  • Direct experience evaluating, selecting, and operationalizing AI-enabled development tools such as GitHub Copilot, Azure AI, OpenAI models, and Claude Code
  • Hands-on experience using LLM-based frameworks and retrieval-augmented generation (RAG)
  • Ability to identify, hire, coach, and scale engineers in AI-assisted development techniques, responsible use, productivity strategies, and integration patterns
  • Experience creating developer education programs, playbooks, best practices, or internal communities of practice
  • Experience functioning as an internal SME providing architectural guidance
  • Demonstrated 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
  • Strong background 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 modern front-end and back-end frameworks such as Angular, React, Spring Boot, Django, and Next.js
  • Experience implementing and integrating solutions across Linux, Unix, RHEL, and OpenShift
  • Deep experience with API/webservice design, secure coding standards, and scalable architectural patterns
  • Preferred: understanding of Federal acquisition and security compliance, including FedRAMP and ATO implications
  • Preferred: experience building an enterprise AI-assisted development capability or platform offering
  • Preferred: prior experience productizing internal capabilities into customer-facing solutions or services
  • Preferred: familiarity with AWS, Azure, GCP, AI/ML services, and vendor relationship management
  • Preferred: expertise with CI/CD automation, IaC, Policy as Code, governance automation, Terraform, and Ansible
  • Ability to translate technical concepts for non-technical stakeholders and influence senior leadership
  • Demonstrated ability to stay current with emerging AI, development, and architecture trends and drive organizational adoption strategies

Benefits

Comp & perks
  • AI-powered career tool identifying career steps and learning opportunities
  • Internal mobility team supporting career goals
  • Comprehensive medical plan options, including some with Health Savings Accounts
  • Dental plan options
  • Vision plan
  • 401(k) plan with pre-tax and post-tax contributions and company match
  • Full-flex work weeks where possible
  • Paid vacation, sick, and personal time
  • Paid holidays
  • Paid parental leave
  • Paid military leave
  • Paid bereavement leave
  • Paid jury duty leave
  • Typically 15 days of paid leave per calendar year for vacations, personal business, and illness
  • 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
  • Wellness packages
  • Competitive pay