Applied AI Specialist

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.

Responsibilities

Lead AI Discovery Workshops; Discover and Scope High-Value Use Cases; Evaluate Enterprise AI Readiness; Develop Regional Domain Leadership; Build Technical Assets; Define the Engineering Blueprint; Capture and Scale Best Practices

Requirements

The Builder Mindset - Strong technical foundation in data science. Comfortable working directly with code, APIs, notebooks, development frameworks, and enterprise architectures.; Hands-On AI Experience - Practical experience building or supporting AI applications across machine learning, deep learning, computer vision, time-series analytics, predictive modeling, anomaly detection, and generative AI. Comfortable discussing model architectures, training and evaluation methodologies, inference patterns, and production deployment considerations across a broad range of enterprise AI workloads.; Enterprise Discovery and Solutioning Experience - Proven success in technical pre-sales, solution architecture, consulting, customer engineering, or similar roles involving the discovery, qualification, and design of complex enterprise technology initiatives.; Data Readiness Assessment Skills - Ability to evaluate data quality, governance, security, compliance, operational readiness, and infrastructure constraints that impact successful private AI deployments.; Executive Communication Skills - Exceptional ability to engage technical and executive audiences, facilitating conversations that connect business outcomes with practical implementation strategies.; Technical Proficiency - Experience with Python, APIs, cloud-native architectures, data pipelines, MLOps, and modern AI development ecosystems.

Nice to have

Experience working with NVIDIA AI Enterprise, NIMs, NeMo, RAPIDs or accelerated computing platforms.; Experience delivering customer-facing workshops, design sessions, or architecture engagements.; Experience moving AI projects from proof of concept into production environments.; Familiarity with enterprise data platforms, governance frameworks, and hybrid cloud architectures.

Benefits

Centralized Platform Support; Clean Operational Boundaries; Direct Access to Industry Innovation; High-Impact Culture; Career Growth; Generous PTO Policy; Support work life balance with Unplugged Days; Flexible WFH Policy; Mental & Physical Wellness programs; Phone and Internet Reimbursement program; Access to Continued Career Development; Comprehensive Benefits and Competitive Packages; Paid Volunteer Time; Employee Resource Groups