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Principal AI and Data Architect

21 hours, 4 minutes ago
United States
Full-time
Lead
AI (Artificial Intelligence)
Software Development
AWS Azure CI/CD Generative AI LLM Machine Learning MLOps Python PyTorch Scikit-learn TensorFlow
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Zscaler

Zscaler

Zscaler is a cybersecurity pioneer providing industry-leading CASB and SASE solutions, revolutionizing internet security with a cloud-based platform that protects users worldwide.

Internet Software & Services
1K-5K
Founded 2007
View All Jobs 111

Description

  • Lead the design and implementation of large-scale data architectures for cloud-based systems on AWS and Azure.
  • Build data infrastructure to ingest, store, and process massive volumes of security telemetry and alerts.
  • Spearhead advanced AI/ML and generative AI initiatives for SOC automation, threat detection, and threat hunting.
  • Develop end-to-end AI solutions using ML frameworks such as Scikit-learn, TensorFlow, and PyTorch.
  • Drive the use of LLMs and AI agents to enrich security data and speed up human decision-making.
  • Evaluate different LLM architectures and apply them to security workflows.
  • Collaborate across teams to integrate ML-driven insights into the platform.
  • Apply automation and analytics to reduce analyst workload and improve detection fidelity.
  • Provide architectural guidance across engineering for GenAI, agents, and classic ML models.

Requirements

  • 12+ years of experience in data architecture and AI/ML, including designing and implementing large-scale data systems and production-grade ML solutions.
  • Proficiency in Python for data processing and ML pipelines.
  • Experience with cloud platforms, including AWS and/or Azure, data storage, compute services, and security controls.
  • Experience with MLOps best practices.
  • Bachelor’s degree in Computer Science or a related field, or equivalent experience.
  • Security domain knowledge, including SOC operations, threat detection methodologies, log formats, and common attack techniques (preferred).
  • Familiarity with modern data pipelines, streaming technologies, and AI agent frameworks (preferred).
  • Experience with infrastructure-as-code, containerization, and CI/CD for data and model deployments (preferred).

Benefits

  • Base salary range of $133,000 to $235,000 USD.
  • Comprehensive health plans.
  • Vacation and sick time off plans.
  • Parental leave options.
  • Retirement options.
  • Education reimbursement.
  • In-office perks.
  • Remote work arrangement.

Interested in this position?

Apply directly on the company website

Apply Now

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