1 day ago
Sydney, Australia or Melbourne, AustraliaStaff+
Responsibilities
- Lead hands-on AI discovery workshops with enterprise customers and strategic ecosystem providers.
- Discover, scope, validate, and prioritize high-value private AI use cases suitable for production deployment.
- Assess data architecture, governance, security, compliance, infrastructure constraints, and operational readiness.
- Develop regional industry expertise and transfer successful AI patterns across customers and regions.
- Build lightweight proofs of concept, reference architectures, technical demonstrations, and solution frameworks.
- Translate qualified opportunities into technical requirements, data specifications, success criteria, architectural recommendations, and scoped outcomes for Forward Deployed Engineering teams.
- Document reusable AI use cases, architectural patterns, and implementation frameworks.
Requirements
- Strong technical foundation in data science and comfort working with code, APIs, notebooks, development frameworks, and enterprise architectures.
- Practical experience with machine learning, deep learning, computer vision, time-series analytics, predictive modeling, anomaly detection, and generative AI applications.
- Ability to discuss model architectures, training and evaluation methodologies, inference patterns, and production deployment considerations.
- Proven experience in technical pre-sales, solution architecture, consulting, customer engineering, or similar enterprise technology discovery and solutioning roles.
- Ability to evaluate data quality, governance, security, compliance, operational readiness, and infrastructure constraints.
- Exceptional communication skills with technical and executive audiences.
- Experience with Python, APIs, cloud-native architectures, data pipelines, MLOps, and modern AI development ecosystems.
- Preferred experience with NVIDIA AI Enterprise, NIMs, NeMo, RAPIDS, or accelerated computing platforms.
- Preferred experience delivering customer-facing workshops, design sessions, or architecture engagements and moving AI projects from proof of concept into production.
- Familiarity with enterprise data platforms, governance frameworks, and hybrid cloud architectures.
Benefits
- Generous PTO policy, Unplugged Days, flexible work-from-home policy, wellness programs, phone and internet reimbursement, continued career development, comprehensive benefits, paid volunteer time, and employee resource groups.
- Dedicated Global Workshop Platform Engineer support for workshop environments, cloud credentials, and environment setup.
- Opportunities to work with AI practitioners, strategic ecosystem partners, and enterprise innovators.
- Career growth through industry specialization, go-to-market influence, mentoring, and operating-model development.
Tech Stack
NimPython
Categories
Solutions Engineering
About Cloudera
Cloudera builds the Cloudera Data Platform, an enterprise data stack for hybrid cloud and on‑premises environments that unifies data engineering, warehousing, streaming, and machine learning with governance. It sells subscriptions and managed services to large enterprises across regulated, data‑intensive industries. Founded in 2008 and headquartered in Santa Clara, the company was taken private in 2021 in a transaction led by Clayton, Dubilier & Rice (CD&R).