Principal GenAI Data Engineer

Zscaler is seeking a Principal GenAI Data Engineer to join their team. This is a Hybrid role based in Santa Clara, CA or Bellevue, WA (3 days in office), reporting to the Senior Manager, Enterprise AI Data Platform in the Information Technology Data Strategy department.

The ideal candidate will combine deep expertise in enterprise data architecture, unstructured data pipelines, GenAI platform engineering, and strong software engineering skills in Python.

Responsibilities:

• Architect enterprise-scale GenAI data platforms for ingestion, transformation, enrichment, and serving of structured and unstructured data
• Design scalable pipelines for enterprise knowledge ingestion from diverse data sources including documents, SaaS platforms, knowledge bases, collaboration tools, and databases
• Define architecture for metadata extraction, chunking, enrichment, embeddings generation, and knowledge preparation workflows
• Design AI-ready data models and storage strategies for vector, graph, and hybrid knowledge systems
• Architect scalable unstructured data processing pipelines for text, images, PDFs, tables, and multimodal content

Requirements:

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• Expert-level Python programming and software engineering capabilities
• Experience building distributed/scalable data pipelines for AI workloads
• Strong understanding of unstructured data extraction and processing pipelines
• Experience with vector databases, graph databases, and metadata/knowledge storage systems
• Hands-on experience with clustering, entity recognition algorithms, and modern retrieval strategies (including RAG, search, and agentic AI workflows)

Benefits:

• Various health plans
• Time off plans for vacation and sick time
• Parental leave options
• Retirement options
• Education reimbursement
• In-office perks, and more!

Salary Range: $185,500-$265,000 USD