AI Engineer - 11927

Job description

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 AI Engineer at Coupa: We are seeking a hands-on Agentic AI Developer / AI Engineer to design, build, test and deploy agentic AI solutions leveraging Google Cloud's AI ecosystem. This role is a core part of our AI Delivery "Build" team, responsible for translating business challenges into production-ready AI agents and solutions using Google ADK (Agent Developer Kit), Vertex AI, and related Google Cloud services that create measurable business value. This position combines deep technical expertise with practical execution on Google's AI platform, ensuring that our agentic AI solutions are well-designed, robustly built, and successfully deployed. The Agentic AI Developer will partner closely with business stakeholders, QA Specialists, and Cloud Engineers to build, test, and scale responsible AI solutions from concept to production within the Google Cloud environment. In a forward deployed role, You will embed directly with the portfolio teams whose problems you are solving, work in their tools and their meetings, and deliver agentic and automation solutions in the flow of work: inside the systems people already use every day, not as one more application they have to learn.