Zscaler is seeking a Principal GenAI Data Engineer to design and implement enterprise-grade Generative AI data platforms and pipelines for scalable, production-ready AI applications. This fully remote US role focuses on architecting robust data ingestion, processing, and serving systems for AI/LLM workloads.

Company: Zscaler

Role: Principal GenAI Data Engineer

Location: Remote - USA

Experience:

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

Key Skills:

Python
AI/ML technologies
Generative AI
Enterprise data architecture
Unstructured data pipelines
Vector databases
Graph databases
Metadata/knowledge storage systems
Clustering algorithms
Entity recognition algorithms
Retrieval-Augmented Generation (RAG)
Distributed/scalable data pipelines

Qualification:

Foundational understanding of AI/ML technologies

Role Focus:

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

Additional responsibilities:

Report to Senior Manager, Enterprise AI Data Platform in IT Data Strategy department
Drive design and implementation of enterprise-grade Generative AI data ingestion and platform architectures
Operate with ownership, integrity, and a bias for action
Collaborate in a high-trust, feedback-driven team environment
Embrace a growth mindset and continuous learning

Nice to have:

Advanced experience architecting real-time distributed vector search infrastructure and multi-modal knowledge graph pipelines for enterprise-grade RAG applications
Experience with LLMOps / GenAIOps frameworks such as LangSmith, Arize Phoenix, Weights & Biases, or MLflow
Familiarity with Agent Frameworks like LangGraph, CrewAI, or Google ADK

Other:

Zscaler accelerates digital transformation with a cloud-native Zero Trust Exchange platform
Salary range $182,000 - $260,000 USD excluding commission/bonus/equity
Comprehensive benefits including health plans, time off, parental leave, retirement options, education reimbursement, and in-office perks
Inclusive work environment valuing diversity, collaboration, and belonging
Commitment to equal employment opportunity and reasonable accommodations in recruiting
Compliance with federal, state, and local pay transparency rules

Principal GenAI Data Engineer

Skills Required

Description