Description
Principal AI Platform Engineer - 11189
Team: Engineering - Americas
Location: Foster City, CA, United States
Commitment: Mid-Senior Level
Workplace Type: hybrid
Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.
Why join Coupa?
🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.
Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.
The Impact of a Principal Engineer at Coupa:
At Coupa, we're building a future where Agentic AI and an Autonomous Buyer-Supplier Network will reinvent the future of Global Trade. As an AI Architect, you’ll lead the charge - defining and driving the architectural vision that powers our next-generation Autonomous Spend Management platform. You'll design intelligent, adaptive systems that help businesses optimize spend, streamline supplier collaboration, and operate with greater autonomy and scale.
What You'll Do:
- Collaborate with a cross-functional team of engineers, data scientists, architects, and product managers to deliver AI-powered products that build the future of trade at Coupa.
- You will shape the north star platform architecture - owning and evolving living diagrams and canonical APIs for agent orchestration, RAG pipelines, prompt libraries, and multi-tenant policy enforcement.
- Build an end-to-end platform that democratizes AI across the entire engineering team and our partner ecosystem.
- Accelerate innovation by owning proofs of concept and lead key RFCs around hierarchical agent memory, multimodal RAG, and multimodal guardrails.
- You'll lead by influence - hosting architecture office hours, mentoring senior and principal engineers, authoring technical design docs and blogs, and representing Coupa at leading AI conferences to evangelize the platform vision both internally and externally.
What You Will Bring to Coupa:
- At least 10 years of experience with Python, Go, Java or Ruby
- 8+ years of experience deploying scalable services on a major cloud provider
- 2+ years of experience with Agentic AI frameworks
- 2+ years of experience architecting and developing complex AI systems
- Experience as a Principal Engineer or Architect influencing and guiding 50+ engineers
- Demonstrated ability to lead and mentor multiple engineering teams including other architects and directors.
The estimated pay range for this role is $201,000 - $261,000
The starting salary for the successful candidate will be based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
#LI-HYBRID
#LI-AA2
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.
Please be advised that inquiries or resumes from recruiters will not be accepted.
By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.
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