About Us

Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.

The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward. Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone.

Role Summary

As a Senior Staff Software Engineer specializing in agentic applications, you will be the preeminent technical authority for our GenAI platform, setting architecture and strategy that spans multiple engineering organizations and shapes the company's long-term technology roadmap. You will lead the enterprise-wide integration of LLMs across our internal and customer-facing application portfolio. Your focus will be on driving cognitive automation at scale, transforming how the organization approaches decision-making and workflow automation, and establishing the engineering standards that define resilient, scalable, and observable distributed systems company-wide. You will operate as a force multiplier — influencing technical direction well beyond your immediate team and acting as a key partner to senior leadership in shaping the future of the platform.

 

Responsibilities

• Architect and Own Agentic Systems at Enterprise Scale: Architect and lead the development of highly sophisticated, mission-critical intelligent agent systems that utilize LLMs to automate workflows, optimize operations, and elevate user experiences — setting technical direction across the entire engineering organization and influencing strategy at the company level.

• Define and Own Enterprise LLM Integration Strategy: Own and drive the multi-year technical vision for integrating LLMs across the company's software ecosystem, ensuring robust, scalable, and maintainable communication and data exchange. Serve as the ultimate technical authority and final escalation point for LLM architecture decisions across the organization.

• Lead the Enterprise Cognitive Automation Roadmap: Partner directly with senior leadership, product executives, and engineering leaders to define and own the company-wide strategic direction for cognitive automation. Leverage LLMs to transform complex cognitive tasks — such as information extraction, summarization, and question answering — into scalable, repeatable capabilities across the enterprise.