23 hours ago
Remote, AustriaSenior / Staff+
Responsibilities
- Build and prototype full-stack AI and agentic applications on Cloudera for enterprise use cases.
- Partner directly with strategic customers to move AI initiatives from prototypes toward production readiness.
- Advise customer technical and executive leaders on AI roadmaps, prioritization, deployment, and business alignment.
- Create reusable reference architectures, productized solutions, starter kits, and internal playbooks.
- Mentor Cloudera teams, support internal enablement, and share customer feedback with Product teams.
Requirements
- 7+ years of experience building and deploying production-grade systems, including 2–3 years building generative AI or agentic applications.
- Strong hands-on software engineering, data engineering, applied AI/ML, and full-stack AI application development skills.
- Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation, and agentic workflows.
- Deep understanding of LLMOps/MLOps, including evaluation, observability, serving, monitoring, and lifecycle management.
- Experience designing scalable AI architectures aligned with enterprise security, governance, and compliance standards.
- Ability to engage technical and executive customer audiences and translate needs into actionable technical strategy.
- Preferred experience includes AWS, Azure, GCP, Cloudera, Spark, Iceberg, NiFi, NVIDIA GPUs, inference optimization, model serving, or distributed AI workloads.
Benefits
- Generous PTO, Unplugged Days, mental and physical wellness programs, phone and internet reimbursement, continued career development, comprehensive benefits, paid volunteer time, and employee resource groups.
- Flexible work-from-home policy with remote and in-person customer engagement; occasional travel of up to 20% may be required.
Categories
Forward Deployed
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).