Staff Engineer / Architect, Enterprise AI Solutions

Mountain View, California

$154K - $247K/yr

Job Description

Who we are

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We 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.

In this role, you will:

Evaluate 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.

Required Qualifications:

Bachelor’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

The base salary range for this position is $154,000 - $247,000. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Working at Aurora
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.

We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.

Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.

Our commitment to safety

At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.

Our commitment to inclusion

Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.

For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

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