Senior Enterprise AI Tech Lead & Manager

Rivian and Volkswagen Group Technologies

Palo Alto (CA)

Sur place

USD 180 000 - 260 000

Plein temps

Il y a 7 jours
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Avantages offerts par ce poste

Health coverage
Retirement savings
Time off & family planning

Résumé du poste

Rivian and Volkswagen Group Technologies seeks a seasoned engineering leader to drive AI-native tooling across the software life cycle. You will stay close to code, balancing architecture with hands-on building, and collaborate with engineering leaders to make AI a natural part of our development process.

You will lead a small team of engineers, define reusable toolchains, and ensure security and compliance across models, both open-source and proprietary, while delivering measurable improvements

Qualifications

  • BS or MS in Computer Science or a related field, or equivalent experience.
  • 8+ years in software engineering, including production systems in enterprise environments.
  • 2+ years leading engineers as a tech lead or engineering manager.
  • Hands-on experience building and operating AI-native developer tools, internal platforms, or CI/CD systems in production.
  • Hands-on experience with language models and agents, including tool use, context management, and evaluation in production, across both open-source and proprietary models.
  • Deep familiarity with the latest developments in AI, especially as they apply to software development, and the judgement to separate what’s production-ready from what isn’t yet.
  • Experience designing abstractions that keep tooling portable across model providers and frameworks.
  • Experience defining architectures and standards that create leverage across multiple teams.
  • Working knowledge of security, privacy, and auditability for AI-enabled developer tooling.
  • Strong communication skills, with the ability to influence engineering leaders across domains.

Responsabilités

  • Set the direction for reusable AI tooling, from agent runtimes and evaluation to skills, plugins, and agentic loops, and own the roadmap that gets it into engineers’ hands.
  • Build AI tooling that works with any model, open-source or proprietary, so teams can switch as the model landscape evolves without rebuilding their workflows.
  • Put AI to work across the development lifecycle, from code review and testing to triage, alongside engineering leaders in every domain.
  • Lead design reviews and build prioritized AI services and developer tools yourself, owning their reliability, observability, and cost.
  • Connect the dots across engineering groups: spot shared patterns, reuse components, and stop duplicate work before it starts.
  • Set the bar for evaluation, guardrails, and monitoring, measuring quality, safety, and developer impact across open-source and proprietary models.
  • Show the impact in terms engineers feel: cycle time, quality, and hours returned from low-value work.
  • Make AI workloads fast and affordable, and make the build-versus-buy calls that keep us moving.
  • Build security, privacy, and auditability into every tool, with Security, Compliance, and Audit as partners from the start.
  • Work with DevEx, IT, and domain teams to shape AI-native development workflows that engineers actually want to use.
  • Lead and develop a small team of engineers.

Connaissances

AI tooling
Language models & agents
Architectures & standards
Security, privacy & auditability
Leadership & people mgmt
CI/CD systems
Software architecture design
Effective communication

Formation

BS or MS in Computer Science or related field

Outils

CI/CD tooling

Description du poste

Rivian and Volkswagen Group Technologies seeks a seasoned engineering leader to drive AI-native tooling across the software life cycle. You will stay close to code, balancing architecture with hands-on building, and collaborate with engineering leaders to make AI a natural part of our development process.

You will lead a small team of engineers, define reusable toolchains, and ensure security and compliance across models, both open-source and proprietary, while delivering measurable improvements

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