Developer Experience & AI Enablement Lead

About the role

TSC is currently seeking a Developer Experience & AI Enablement Lead in Aurora, CO, Arlington, VA, or Huntsville, AL. In this role, the candidate will own the continuous improvement and adoption of enterprise software development processes, engineering standards, secure development practices, and AI-enabled development capabilities across TSC business units. The successful candidate will work closely with Engineering, IT, Cybersecurity, Legal, and business-unit leadership to translate technical and compliance requirements into practical workflows, tools, and operating practices. TSC offers a professional working environment, a competitive salary, and an excellent benefits package. Come and join our team!

Responsibilities

• In this highly cross-functional role, you will treat internal product engineers as your primary customers.
• You will help establish consistent, secure, and scalable software development practices across TSC business units.
• Crucially, you will also lead the technical roadmap for safely integrating generative AI and automated agents into the end-to-end software development lifecycle (SDLC).
• Own and continuously improve the enterprise software development operating model, including lifecycle processes, engineering standards, repository practices, CI/CD expectations, security controls, release practices, and documentation requirements.
• Assess software development practices across TSC business units and develop a roadmap to improve consistency, maturity, developer experience, and risk management.
• Define and promote standardized “golden path” or paved-road workflows, repository blueprints, branch-management practices, CI/CD frameworks, and reusable engineering patterns.
• Partner with business-unit engineering leaders to align implementation, address legitimate differences, and support adoption across teams with varying tools and maturity levels.
• Translate cybersecurity policies, software development standards, and contractual requirements into practical engineering requirements, workflows, acceptance criteria, and operating procedures.
• Coordinate implementation of secure development practices, including code review, SAST/DAST, dependency and vulnerability management, secrets handling, SBOMs, release assurance, and evidence retention.
• Establish and improve governance for open-source software and third-party dependencies, including sourcing, licensing, repository management, traceability, scanning, approval processes, and exception handling.
• Lead the strategy for safely integrating generative AI assistants and agentic capabilities into the software development lifecycle, including planning, coding, testing, review, documentation, and data protection.
• Partner with Cybersecurity, Legal, and Engineering to define AI usage guardrails related to data access, intellectual property, controlled information, provenance, disclosure, and generated-code review.
• Define requirements for and coordinate the development of self-service infrastructure and automation that enable teams to create compliant repositories, pipelines, and development environments with minimal manual effort.
• Coordinate evaluations and implementation of developer-experience, CI/CD, artifact-management, scanning, SBOM, AI Gateway, and related enterprise tooling.
• Maintain roadmaps, milestones, dependencies, risks, decisions, status reporting, requirements, and investment proposals for major initiatives.