Principal AI Engineer

🔥 24 minutes ago

🇺🇸 United States – Remote

💵 $185.5k - $265k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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Zscaler

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Secondary Market on 2017-11

Cybersecurity • SaaS • Enterprise

Zscaler is a leading provider of cloud-based cybersecurity solutions, specializing in Zero Trust architecture. The company enhances security and connectivity for organizations by enabling seamless, secure access to applications and data across various environments, including the cloud, on-premises data centers, and IoT systems. With proven ROI and significant reductions in cybersecurity risks, Zscaler empowers enterprises to protect their digital resources while optimizing operational costs.

📋 Description

• Design, evolve, and scale the Customer Success AI platform, including reusable services and reference architectures that support multiple AI products and internal AI experiences • Build and maintain foundational AI infrastructure such as orchestration services, context engines, memory services, workflow execution frameworks, enterprise integrations, and scalable architectures for multi-agent systems • Optimize platform capabilities across model routing, latency, cost, reliability, observability, governance, and security to ensure enterprise-grade performance and resilience • Lead technical architecture and engineering standards across multiple AI products, mentoring AI Engineers and driving engineering excellence through reusable frameworks, patterns, and platform capabilities • Partner cross-functionally with Product Management, Engineering, IT, Security, Data, and Customer Success teams to evaluate emerging AI technologies, shape adoption strategy, and align platform evolution with long-term business and enterprise architecture needs

🎯 Requirements

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain • Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving • 10+ years of software engineering experience, including 4+ years building production AI or machine learning systems • Deep expertise in distributed systems, cloud-native architectures, and enterprise-scale software design • Strong understanding of AI agents, LLM orchestration, RAG, planning systems, and enterprise AI architecture patterns • Experience designing reusable platforms and defining technical architecture across multiple products or engineering teams • Strong leadership, mentoring, communication, and systems thinking skills, with the ability to influence technical direction in complex environments

🏖️ Benefits

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