Build reusable AI tooling across agent runtimes, evaluation, skills, plugins, and agentic loops, and help shape the roadmap through the work itself.

Design and 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, in close collaboration with engineering leaders in every domain.

Lead design reviews and build prioritized AI services and developer tools end to end, owning their reliability, observability, and cost.

Collaborate across engineering groups to spot shared patterns, reuse components, and stop duplicate work before it starts.

Build evaluation, guardrails, and monitoring that measure quality, safety, and developer impact across open-source and proprietary models.

Measure and report the impact of new tooling in terms engineers feel: cycle time, quality, and hours returned from low-value work.

Make AI workloads fast and affordable, and bring clear build-versus-buy recommendations to the team.

Build security, privacy, and auditability into every tool, working alongside Security, Compliance, and Audit partners from the start.

Work with DevEx, IT, and domain teams to shape AI-native development workflows that engineers actually want to use.

Mentor engineers across levels, and raise the bar on code quality, design, and engineering practices through reviews and pairing.

Stay at the frontier of AI, especially for software development, and bring the approaches that are production-ready into the platform.

Staff AI Engineer, Enterprise AI

Responsibilities

Qualification

Required

Benefits

Company

rivianvw.tech

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