Applied AI Specialist
Summary
Design and scope AI solutions for enterprises, lead discovery workshops, and build proofs of concept using Python, cloud-native tools, and MLOps.
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.