Staff AI Engineer: Enterprise Agent Platform

Rivian Automotive; Palo Alto (CA); Presencial; USD 207 000 - 258 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

401(k) Plan

Employee Stock Purchase Program

Health benefits

Resumo da oferta

Rivian Automotive is seeking a Staff AI Software Engineer in Palo Alto to shape the technical direction of agentic applications across Rivian’s product engineering workflows and vehicle lifecycle.

You will lead hands-on design and implementation, establish architecture standards, and collaborate with product, systems and data teams to deliver reliable, scalable AI tools that accelerate decision‑making and reduce manual effort.

Qualificações

• 8+ years of professional software engineering experience.
• Shipped and operated LLM‑based or agentic applications in production.
• Experience with enterprise systems security and governance.

Responsabilidades

• Define and own the agent platform architecture and tools.
• Establish reusable patterns and engineering standards across applications.
• Ensure reliability, observability and cost targets for AI systems.
• Lead the design and implementation of the most complex components.
• Evaluate models, frameworks and vendor options to inform roadmaps.
• Collaborate with Security, Legal and Compliance on governance.

Conhecimentos

LLM-based systems

Agentic apps

Python

Distributed systems

Cloud infrastructure

Containerization

Observability

Leadership

Formação académica

Bachelor’s, Master’s or Ph.D. in Computer Science, Engineering or related field

Ferramentas

APIs

Containerization

Cloud services

Descrição da oferta de emprego

Rivian Automotive is seeking a Staff AI Software Engineer in Palo Alto to shape the technical direction of agentic applications across Rivian’s product engineering workflows and vehicle lifecycle.

You will lead hands-on design and implementation, establish architecture standards, and collaborate with product, systems and data teams to deliver reliable, scalable AI tools that accelerate decision‑making and reduce manual effort.