AI Development Enablement Lead

Key Responsibilities

• Lead and manage the internal AI Labs initiative, defining a lightweight but structured framework for piloting and evaluating tools.
• Research, trial, and assess AI development tools (e.g., Cursor, Windsurf/Codeium, Qodo, GitHub Copilot, CodeWhisperer) with limited day-to-day support from developers.
• Translate organizational requirements and feedback into testable use cases and evaluation criteria.
• Directly use, configure, and analyze AI-assisted tools in real-world scenarios to assess usability, productivity impact, and compliance fit.
• Collaborate with DevSecOps, security, and engineering stakeholders to ensure alignment with RMF, STIG, FedRAMP, and software delivery standards.
• Produce clear, defensible recommendations-complete with tradeoffs, rollout plans, and measurable outcomes.
• Develop a roadmap for rollout and adoption across multiple projects, including training, documentation, and change management support.
• Monitor emerging trends in AI tooling, with a focus on open-source, on-premise, or FedRAMP-compliant solutions applicable to DoD environments.
• Create/Manage a Trillion Developer focus group/trail group to test and gather feedback of products
• Agentic AI research/development

Required Qualifications

• Strong organizational and execution skills-able to independently manage trials, evaluations, and documentation.
• Hands-on experience in software engineering, DevSecOps, or technical research roles, particularly within complex or regulated environments.
• Comfort using and evaluating AI-powered development tools directly without needing continuous support from engineering teams.
• Ability to take high-level goals and convert them into practical evaluation frameworks and implementation plans.
• Strong written and verbal communication skills, including the ability to produce internal briefs, tool justifications, and stakeholder presentations.
• U.S. Citizenship and eligibility to work on Government contracts.

Preferred Qualifications

• Experience supporting DoD, Intelligence Community, or other Federal software programs.
• Familiarity with AI tools for development, including AI coding assistants, test generation, PR analysis, and code documentation.
• Exposure to security and compliance requirements such as RMF, STIG, FedRAMP, and SBOM-related tooling (e.g., Syft, Grype).
• Understanding of CI/CD workflows (e.g., Jenkins, GitLab, Nexus) and container-based environments (e.g., Kubernetes).