Director of Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Director of Engineering (AI/Cloud Native): Leading a global engineering organization and implementing an AI-first operating model with an accent on AI-powered tooling, developer experience, and product velocity. Focus on designing AI product enablement strategies, modernizing legacy systems, and scaling global high-performing teams.
Location: Must be based in Texas, USA (Virtual Texas)
Company
Global leader in data and software services transforming the vehicle lifecycle into a connected digital experience.
What you will do
- Integrate AI-powered tooling (GitHub Copilot, Cursor) to measurably improve developer throughput and code quality.
- Develop AI product enablement strategies including RAG pipelines and agentic workflows to embed AI into core offerings.
- Optimize the engineering operating model through agile delivery, OKRs, and robust CI/CD pipelines.
- Lead, coach, and scale a global engineering organization consisting of multiple Engineering Managers and senior ICs.
- Provide technical leadership for a cloud-native microservices platform using .NET, Java, and React.
- Partner with executive stakeholders to communicate risks, progress, and manage annual budget and headcount strategy.
Requirements
- 15+ years of software engineering experience, with 7+ years leading engineering teams at scale.
- Must be based in Texas, USA.
- Proven experience integrating AI/ML tools into developer workflows or shipping AI-enabled product features.
- Deep fluency in cloud-native architecture, microservices, and modern SDLC practices (CI/CD, DevSecOps, SRE).
- Experience managing distributed global teams and leading large-scale technology transformations.
- BS/MS in Computer Science, Engineering, or equivalent practical experience.
Nice to have
- Experience in highly regulated domains such as automotive, insurance, or fintech.
Culture & Benefits
- Innovative culture dedicated to utilizing cognitive answers, insights, algorithms, and automation.
- Environment focused on psychological safety, radical candor, and continuous learning.
- Emphasis on diversity and building global engineering pipelines.
- Commitment to upleveling talent through structured skills programs.
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