Business Area:
Corp. Strategy
Seniority Level:
Mid-Senior level
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
The Applied AI team exists to help the world's largest enterprises move beyond AI experimentation and into production. Our mission is to identify, validate, and accelerate high-impact AI use cases that deliver measurable business outcomes across regulated and data-intensive industries. Working at the intersection of industry expertise, AI technology, and enterprise data platforms, we partner directly with customers to solve complex business challenges using machine learning, computer vision, predictive analytics, generative AI, and agentic systems, while developing the technical conviction needed to move initiatives from concept to production.
The team combines Applied AI Specialists, strategic ecosystem partners such as NVIDIA, and Forward Deployed Engineers (FDEs) in a unified operating model designed to rapidly move AI initiatives from discovery to deployment. Applied AI Specialists work directly with customers to discover opportunities, validate technical feasibility, and establish technical conviction, while FDE teams build and deploy qualified solutions. Together, we help organizations operationalize AI securely, govern it responsibly, and scale it across the enterprise.
As an Applied AI Specialist, your mission is to identify, validate, and establish technical conviction around high-impact private AI use cases that can be successfully deployed into production. Operating within a specialized regional pod, you will lead technical discovery, execute deep-dive AI workshops, and collaborate closely with strategic ecosystem partners such as NVIDIA.
You will work directly with enterprise architects, data scientists, platform teams, and business stakeholders to evaluate AI opportunities, assess technical feasibility, and define clear implementation paths. Your focus is on separating low-conviction ideas from production-ready opportunities, ensuring that only the highest-value use cases advance into our engineering pipeline.