Senior Curriculum Developer GenAI Applications and Data Engineering

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Job Description: 

Role Overview

At Cloudera, you will bridge the gap between complex data technologies and actionable learning. You will design and develop hands-on technical training, workshops, and certification content focused on Generative AI Applications, Agentic AI, MLOps, and modern Data Engineering for customers, partners, and internal teams.

As a Senior Technical Curriculum Developer You will:

• Design and develop technical training focused on Generative AI, Agentic AI workflows, and AI application development including the NVIDIA AI Agent stack.

• Create instructor-led guides, lab manuals, Jupyter notebook-based exercises, and on-demand video content.

• Develop technical assessments, certification questions, and demo environments.

• Develop real-world AI agents and data scenarios across Banking, Telecom, Retail, Healthcare, and other enterprise domains.

• Workshop Delivery & Technical Integration

• Lead and conduct technical ML/AI and Agent development workshops directly for customers and internal teams.

• Build and maintain labs using Python, AI/ML frameworks, Vector databases, and NVIDIA-accelerated data pipelines (e.g., cuDF, Apache Spark on GPUs).

• Partner with Product, Engineering, and Solution Architecture teams to ensure training reflects the latest platform capabilities.

• Continuous Improvement

• Iterate on course content based on learner feedback, instructor input, and emerging industry trends like LLMOps.

• Support internal enablement initiatives and maintain technical walkthroughs.

We’re excited about you if you have:

• Python, React, Node.js, HTML, and Markdown.

• Data & Infrastructure: SQL, Linux, Bash scripting, Kubernetes, and Docker.

• Traditional ML (PyTorch or similar), Generative AI, and building enterprise Agentic AI workflows. Familiar with OpenAI v1 API and how to build with it.

• Experience with the NVIDIA AI Agent & Data Engineering stack, including NVIDIA NIM, NeMo Retriever, NeMo Guardrails, and cuDF for accelerated data processing.

• AI Coding agents (Cursor, Claude, Codex, Gemini) and modern IDEs.

• Experience & Competencies:

• Total 6+ years of data and application development experience with 4+ years in curriculum development, technical training, AI/ML/Data Engineering, or MLOps.

• Proven ability to conduct hands-on workshops and simplify complex AI concepts for technical and non-technical audiences.

• Expertise in Agent frameworks (CrewAI, LangChain, NVIDIA AI-Q), Vector databases, RAG pipelines, and Git/version control.

You may also have:

• Advanced Architecture Knowledge of Data Lakehouse architectures, Apache Spark, Kafka, and Airflow.

• Governance Familiarity with AI governance, Responsible AI, and NVIDIA OpenShell for secure agent runtimes.

• Platform & Operations Exposure to Cloudera environments, LMS platforms, and DevOps/CI/CD practices.

• Multimedia Experience with certification development and video recording/editing tools.

What you can expect from us:

• Generous PTO Policy 

• Support work life balance with Unplugged Days

• Flexible WFH Policy 

• Mental & Physical Wellness programs 

• Phone and Internet Reimbursement program 

• Access to Continued Career Development 

• Comprehensive Benefits and Competitive Packages 

• Paid Volunteer Time

• Employee Resource Groups

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