Principal, AI Strategy & Engineering Transformation

Role Description

Vantor is seeking a Principal, AI Strategy & Engineering Transformation leader to turn AI from experimentation into a repeatable, secure, and measurable engineering capability. You will define the strategy for AI-assisted software delivery while remaining close enough to the work to build prototypes, test workflows, and help teams adopt them.

You will operate across:

• Engineering
• Product
• Security
• Compliance
• IT
• Infrastructure
• Procurement
• HR
• Senior leadership

Your work will connect emerging AI technology to practical developer workflows, enterprise operating models, and decisions about what Vantor should standardize, scale, or stop.

This is a hands-on principal individual-contributor role with enterprise reach. You will lead primarily through technical credibility, evidence, facilitation, and influence rather than formal authority. The successful candidate can move from a working prototype to a governed pilot, an executive recommendation, and an adoption plan without losing the thread between them.

Qualifications

• 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.

Requirements

• Define and maintain Vantor's strategy, roadmap, and investment priorities for AI-assisted software engineering.
• Evaluate AI development tools through representative workflows and evidence covering capability, security, compliance, cost, supportability, portability, and operating-model fit.
• Recommend primary tools, approved patterns, exception paths, and bounded experiments for emerging capabilities such as local inference.
• Design, prototype, and validate agentic and AI-assisted workflows for coding, testing, documentation, code review, bug finding, repository automation, and workflow orchestration.
• Build practical solutions with modern AI tooling, APIs, scripting, prompt and context engineering, and developer-tool integrations.
• Move promising ideas from concept to prototype to reusable operating pattern, partnering with engineering teams when productionalization or platform support is required.
• Discover how teams plan, build, review, release, and operate software; identify friction, manual work, and high-value opportunities for AI and automation.
• Redesign workflows across requirements, backlog management, development, testing, release coordination, documentation, and post-launch learning.
• Run structured pilots with real engineering teams, including readiness baselines, workflow selection, hands-on dogfooding, blocker removal, evidence collection, and scaling decisions.
• Translate successful pilots into reusable playbooks, reference implementations, automation, templates, skills, and internal marketplace or knowledge-base assets.
• Partner with Security, Compliance, Privacy, IT, and engineering owners to establish practical governance and approved AI usage patterns.
• Define success measures for adoption, developer friction, productivity, quality, useful outcomes, risk, and vendor value; establish baselines and collect before-and-after evidence.

Benefits

• Competitive total rewards package that goes beyond the standard.
• Robust 401(k) with company match.
• Mental health resources.
• Unique perks like student loan repayment assistance, adoption reimbursement, and pet insurance.
• This position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved.