Principal, AI Strategy – Engineering Transformation

🕒 Agosto 18

🏄 California, Colorado, +1 estados a mais – Remoto

🏄 California – Remote ⛰️ Colorado – Remote 🏖️ New Jersey – Remote

💵 $150.000 - $220.000 / ano

⏰ Tempo Integral

🔴 Especialista

🖥 Engenheiro de Software

👻 Score fantasma 0%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Vantor

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🎖️ Defesa

📦 Logística

💼 Consultoria

Defense • Logistics • Consulting

A Vantor é uma empresa de inteligência espacial que constrói um "globo vivo" pronto para IA e uma constelação de satélites de imageamento comercial para unificar dados de sensores no espaço, ar e solo. Ela fornece plataformas de software e produtos para agendamento em tempo real, orquestração de sensores, mapas-base de alta resolução, imagens de radar e ópticas, e capacidades autônomas de ISR usadas por defesa, inteligência, governo e clientes comerciais.

Descrição

• Define and maintain Vantor's strategy, roadmap, and investment priorities for AI-assisted software engineering • Evaluate AI development tools across capability, security, compliance, cost, supportability, portability, and operating-model fit • Design, prototype, and validate agentic and AI-assisted workflows for coding, testing, documentation, code review, bug finding, repository automation, and workflow orchestration • Build solutions using modern AI tooling, APIs, scripting, prompt and context engineering, and developer-tool integrations • Discover engineering workflow friction and redesign processes across requirements, backlog management, development, testing, release coordination, documentation, and post-launch learning • Lead or support source-control governance, collaboration integrations, workflow migrations, ownership models, and phased rollout planning • Run structured pilots with engineering teams, collect evidence, remove blockers, and make scaling decisions • Translate successful pilots into playbooks, reference implementations, automation, templates, skills, and internal knowledge assets • Build adoption through Pioneer and Champion networks, coaching, teach-backs, demonstrations, and pulse checks • Establish practical governance and approved AI usage patterns with Security, Compliance, Privacy, IT, and engineering owners • Address identity, authorization, secrets, network and egress controls, data handling, storage, logging, retention, and human review • Define success measures and collect evidence on adoption, developer friction, productivity, quality, outcomes, risk, and vendor value • Operate a cross-functional portfolio through milestones, decision gates, dependencies, owners, risks, and leadership readouts • Support vendor evaluation and procurement decisions with measurable evidence

🎯 Requisitos

• 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 • 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 controls for safe AI use in software delivery • 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 translating 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 a U.S. Person: U.S. citizen, permanent resident, Asylee, or Refugee • Preferred: experience deploying AI development tools in regulated, export-controlled, disconnected, or restricted environments • Preferred: experience evaluating or scaling AI coding assistants, agent frameworks, retrieval-augmented systems, local inference, or related developer tooling • Preferred: experience building Champion networks, communities of practice, embedded enablement models, or enterprise change programs • Preferred: experience with developer-productivity measurement, experimentation, engineering metrics, or platform-value assessment • Preferred: experience with GitHub Enterprise governance, source-control or collaboration-platform migrations, cloud platforms, and modern DevOps practices • Preferred: experience supporting vendor evaluation, procurement, implementation planning, and sustainable operating or support models

🏖️ Benefícios

• Robust 401(k) with company match • Mental health resources • Student loan repayment assistance • Adoption reimbursement • Pet insurance • Incentive eligible, with target based on contribution, company performance, and/or individual results