Applied AI Specialist, Australia

About the role

Cloudera's Applied AI team helps large enterprises move beyond AI experimentation into production, partnering with customers on machine learning, computer vision, predictive analytics, generative AI and agentic systems. As an Applied AI Specialist in Australia, you will identify, validate and establish technical conviction around private AI use cases, working in a regional pod with ecosystem partners such as NVIDIA and with Forward Deployed Engineers who build and deploy the solutions.

Key responsibilities

• Lead AI discovery workshops with ecosystem partners to identify, validate and prioritise private AI opportunities.
• Discover and scope high-value use cases with enterprise customers, assessing data architecture, governance, infrastructure, security and data gravity.
• Develop lightweight proofs of concept, reference architectures, technical demonstrations and solution frameworks.
• Translate qualified opportunities into technical requirements, data specifications, success criteria and architectural recommendations for FDE teams.
• Capture and scale best practices across customers, industries and regions.

Required profile

• Strong technical foundation in data science, comfortable with code, APIs, notebooks and enterprise architectures.
• Hands-on experience building or supporting AI applications (machine learning, deep learning, computer vision, time-series analytics, predictive modelling, anomaly detection, generative AI).
• Proven experience in technical pre-sales, solution architecture, consulting or customer engineering.
• Ability to assess data readiness and communicate with both technical and executive audiences.

Required skills

• Python, APIs, cloud-native architectures, data pipelines, MLOps and modern AI development ecosystems.
• Nice to have: NVIDIA AI Enterprise, NIMs, NeMo, RAPIDS, customer-facing workshops, and experience moving AI projects from proof of concept to production.

What we offer

• Dedicated platform support for workshop environments and clean boundaries between discovery and implementation.
• Generous PTO policy and flexible WFH policy.
• Mental and physical wellness programs, phone and internet reimbursement, career development and paid volunteer time.