Principal AI and Data Architect
Posted
$133,000 USD
Tech Stack
Responsibilities
- Lead the design and implementation of large-scale data architectures for cloud-based systems (AWS, Azure) to efficiently ingest, store, and process massive volumes of security telemetry and alerts.
- Spearhead advanced AI/ML initiatives, including Generative AI, to develop end-to-end AI solutions for SOC automation, threat detection, and threat hunting, leveraging frameworks like Scikit-learn, TensorFlow, and PyTorch.
- Drive the use of Large Language Models (LLMs) and AI Agents to enhance the enrichment of security data, enabling faster human decision-making, while exploring and evaluating various LLM architectures.
- Collaborate across teams to integrate ML-driven insights into the platform and apply automation and analytics to reduce analyst workload and enhance detection fidelity.
- Provide architectural guidance across engineering based on the fast-paced world of GenAI, Agents, and classic ML models, including those developed by internal R&D teams.
Benefits
- 401k
- Equity
- Health Insurance
- Learning Budget
- Parental Leave
- Remote Work
Culture
Impact-OrientedCustomer-ObsessedCollaborative SpaceTransparent LeadershipWork-Life Balance
Requirements
Required: Bachelor's degree in Computer Science or a related field or equivalent
Regions: Us
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About Zscaler
Industry: cybersecurity
Size: enterprise
Zscaler accelerates digital transformation, leveraging an AI-forward approach and the world's largest security data lake to power its cloud-native Zero Trust Exchange platform, protecting customers from cyberattacks and data loss.
View company profile →Compensation
Base salary: $133,000 USD