Principal, AI Strategy & Engineering Transformation

About this role

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, ownership models, and phased rollout planning.  

Pioneer, Champion & Adoption Programs   • 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.  

• Build adoption through embedded Pioneer and Champion networks; coach participants, facilitate teach-backs and demonstrations, run pulse checks, and help local leaders support teams with decreasing central assistance.  

Secure, Responsible & Scalable AI   • Partner with Security, Compliance, Privacy, IT, and engineering owners to establish practical governance and approved AI usage patterns.  

• Address identity, authorization, secrets, network and egress controls, data handling, storage, logging, retention, and human review as part of workflow design.  

• Design bounded pilots and deployment paths for regulated, restricted, or mission-sensitive environments without treating experimental infrastructure as broadly authorized.  

Measurement & Executive Decision Support   • Define success measures for adoption, developer friction, productivity, quality, useful outcomes, risk, and vendor value; establish baselines and collect before-and-after evidence.  

• Turn pilot and portfolio evidence into clear recommendations about what to continue, change, standardize, scale, or stop.  

• Operate a cross-functional portfolio through milestones, decision gates, dependencies, owners, risks, and concise leadership readouts; support vendor evaluation and procurement decisions with measurable evidence.  

What Success Looks Like (12-18 Months)   • Vantor has an accepted, evidence-backed AI development-tool strategy with clear default and exception paths.  

• Multiple AI-assisted workflows are used on real enginee

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