Principal, AI Strategy & Engineering Transformation

🏢 Vantor · all Vantor jobs
📍 United States
💰 USD 150,000 - 242,000 / annual
📅 Posted 2026-08-21 · via Himalayas
🏷 AI-Strategy,Engineering-Transformation,Software-Engineering-Leadership,Developer-Experience,Platform-Engineering,Principal-AI-Solutions-Architect,Principal-AI-Engineer,Principal-AI-Architect,AI-Strategy-Lead,AI-Principal-Engineer,Principal-AI-Systems-Engineer,AI-Strategy-Director
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Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.
Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.

Vantor advances spatial intelligence by bringing together geospatial data, AI, and mission-focused technology to help decision makers understand what is happening now and shape what comes next. We are a team of problem solvers and builders working on consequential commercial and national-security challenges.

Please review the job details below.
Eligibility and Export Control

This role may support restricted or export-controlled engineering environments. Talent Acquisition, Legal, and Export Compliance must confirm any U.S. Person, citizenship, clearance, or other eligibility requirements before posting.
Role Overview

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, and 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.
What You'll Own
AI Strategy & Developer Tooling
- 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.

AI Workflow Development & Implementation (Hands-On)
- 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.

Engineering Workflow & Platform Transformation
- 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.

- Lead or support foundational changes that affect engineering delivery, including source-control governance, collaboration integrations, workflow migrations,

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