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Oracle OCI Sales Engineer

KPMG
FULL_TIME Remote ยท US New York, NY, US Posted: 2026-05-11 Until: 2026-06-10
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Job Description
KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking an Oracle OCI Sales Engineer to join our Alliances organization. Responsibilities: Drive our AI and data initiatives by demonstrating the transformative power of AI and Data technologies to our KPMG clients Embed technology early in the client sales cycle and build and support top-of-the-funnel activity for cloud-enabled digital transformation deals Develop and present compelling demonstrations tailored to generative AI solutions; illustrate how powerful generative AI models can transform client operations, enhance innovation, and drive business value Craft detailed and persuasive responses to RFPs that are centered around AI and data integration; leverage knowledge of data technologies to ensure proposals integrate generative AI solutions effectively with the broader data ecosystem Engage directly with senior technical stakeholders, such as Chief Data Officers and IT Directors, at client organizations; actively understand their generative AI ambitions and technical requirements, offering tailored AI solutions leveraging the latest technologies, thus buil