Aurora Staff Engineer, Architect, Enterprise AI ...

## About AuroraAt Aurora, we are building the future of transportation through safe, scalable self-driving technology. Founded in 2017 by experts from Google, Tesla, and Uber, Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. Our flagship product, the Aurora Driver, is a self-driving system designed to power multiple vehicle types, with our initial focus on revolutionizing the freight industry. By combining advanced hardware — including lidar, radar, and cameras — with state-of-the-art AI and machine learning software, the Aurora Driver is capable of navigating complex real-world environments with safety and efficiency at its core. Aurora partners with some of the world’s leading automotive and logistics companies — including PACCAR, Volvo, Toyota, and Uber Freight — to integrate autonomous technology into the backbone of goods movement. In 2024, Aurora began commercial driverless trucking operations in Texas, marking a milestone in bringing driverless freight to market at scale.## About the RoleWe are seeking a Staff Engineer / Architect, Enterprise AI Solutions to lead the evaluation, adoption, and implementation of AI tools and capabilities across the enterprise. This role will serve as a bridge between Information Technology and business teams, helping identify opportunities and deliver practical AI driven solutions that improve productivity and scalability. The ideal candidate is an emerging technology enthusiast with strong software engineering foundations, who thrives in partnering with non-technical stakeholders to turn business needs into impactful AI solutions.## QualificationsBachelor’s or Master’s degree in Computer Science, Information Technology, or related field. 8+ years of experience in IT, software engineering, or solutions architecture in delivering complex, large-scale commercial applications or platform services. Experience in implementing AI/ML technologies, AI agentic workflows, automation platforms and workflow orchestration tools across Enterprise Applications. Experience with AI/ML platforms (e.g., OpenAI, Anthropic, Bedrock, or equivalent). Strong understanding of APIs, integrations, and cloud-native architectures. Strong communication and presentation skills. Ability to engage with non-engineering stakeholders and translate business requirements into technical solutions. A deep curiosity and relentless hunger for learning about the latest research and applications of AI at the enterprise level. Experience in driving technology adoption across diverse teams.## ResponsibilitiesEvaluate emerging AI platforms, frameworks, and enterprise solutions to recommend fit-for-purpose technologies. Develop selection criteria and proof-of-concepts to validate AI tools before enterprise wide rollout. Architect, design, develop, and integrate scalable AI-powered technology solutions with existing enterprise application platforms and workflows. Build reusable components and automation workflows while ensuring scalability, security, and compliance in deployed AI solutions. Partner with business stakeholders (Finance, HR, Legal, Marketing, SCM, Commercial Operations, etc) to identify automation opportunities and translate requirements into AI-driven solutions. Define and establish best practices for responsible AI usage within the enterprise, AI governance frameworks, architectural standards for integrations. Act as the subject matter expert for enterprise AI capabilities and drive adoption. #J-18808-Ljbffr

Created: 2025-09-30