Principal, AI Strategy & Engineering Transformation
$150,000–$200,000 year
RemoteUnited States
Job Summary
Define and maintain Vantor's strategy, roadmap, and investment priorities for AI-assisted software engineering. Design, prototype, and validate agentic and AI-assisted workflows for coding, testing, documentation, code review, bug finding, and repository automation. Evaluate AI development tools through representative workflows covering capability, security, compliance, cost, supportability, portability, and operating-model fit. Redesign workflows across requirements, backlog management, development, testing, release coordination, and post-launch learning to identify friction and high-value automation opportunities. Run structured pilots with real engineering teams, translating successful pilots into reusable playbooks, reference implementations, and internal marketplace assets. Partner with Security, Compliance, Privacy, and engineering owners to establish practical governance and approved AI usage patterns for regulated or mission-sensitive environments. Define success measures for adoption, developer friction, productivity, quality, and risk, turning pilot evidence into clear executive recommendations on what to standardize, scale, or stop.
Required Qualifications
- U.S. Person status (U.S. citizen, permanent resident, Asylee, or Refugee)
- 8+ years of relevant experience across software engineering, developer platforms, technical product or program leadership, engineering enablement, or enterprise technology transformation
- Hands-on experience building AI-assisted workflows, agents, prototypes, integrations, or developer automation with modern generative-AI tools
- Strong understanding of the software delivery lifecycle, including Git-based workflows, CI/CD, testing, code review, repository automation, and secure development practices
- Ability to use programming or scripting, APIs, and automation tooling to build prototypes, evaluation harnesses, and repeatable workflows
- Demonstrated ability to turn ambiguous opportunities into structured experiments, measurable outcomes, roadmaps, and clear decisions
- Experience leading cross-functional initiatives involving engineers, senior leaders, platform owners, security, compliance, infrastructure, and business stakeholders
- Working knowledge of enterprise security, data governance, responsible AI, and the controls needed to use AI safely in software delivery
- Proven ability to influence without direct authority, coach technical teams, facilitate working sessions, and drive adoption of unfamiliar tools or practices
- Excellent written and verbal communication, including the ability to translate technical evidence into concise executive recommendations
- Bachelor's degree in Computer Science, Software Engineering, Data or AI, Systems Engineering, or a related discipline, or equivalent demonstrated experience
- Must be available for weekend shifts
Desired Qualifications
- Experience deploying AI development tools in regulated, export-controlled, disconnected, or otherwise restricted environments
- Experience evaluating or scaling AI coding assistants, agent frameworks, retrieval-augmented systems, local inference, or related developer tooling
- Experience building Champion networks, communities of practice, embedded enablement models, or enterprise change programs
- Experience with developer-productivity measurement, experimentation, engineering metrics, or platform-value assessment
- Experience with GitHub Enterprise governance, source-control or collaboration-platform migrations, cloud platforms, and modern DevOps practices
- Experience supporting vendor evaluation, procurement, implementation planning, and sustainable operating or support models
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