Applied AI Specialist

Responsibilities

• Lead AI Discovery Workshops in partnership with ecosystem providers like NVIDIA
• Discover and scope high-value AI use cases for production deployment
• Evaluate enterprise AI readiness including data architecture, governance, and security
• Develop technical assets such as proofs of concept, reference architectures, and demonstrations
• Define engineering blueprints and technical requirements for handoff to FDE teams
• Capture and scale best practices and architectural patterns

Requirements

• Strong technical foundation in data science and working with code, APIs, and notebooks
• Practical experience with machine learning, deep learning, computer vision, and generative AI
• Proven success in technical pre-sales, solution architecture, or customer engineering
• Ability to assess data quality, governance, and infrastructure constraints
• Exceptional communication skills for technical and executive audiences
• Proficiency in Python, APIs, cloud-native architectures, data pipelines, and MLOps

Preferred Qualifications

• Experience with NVIDIA AI Enterprise, NIMs, NeMo, or RAPIDs
• Experience delivering customer-facing workshops or architecture engagements
• Experience moving AI projects from proof of concept to production
• Familiarity with enterprise data platforms and hybrid cloud architectures

About the Company

Cloudera empowers people to transform complex data into clear and actionable insights. As a preferred data partner for the world's largest enterprises, Cloudera advances digital transformation through innovation in the open source community.