Principal Engineer/Architect - AI/ML (Knowledge Graph, LLM)

About Zscaler

Zscaler (NASDAQ: ZS) accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange is the company’s cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. 

With more than 10 years of experience developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances. 

Zscaler was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. Zscaler’s purpose-built security platform puts a company’s defenses and controls where the connections occur—the internet—so that every connection is fast and secure, no matter how or where users connect or where their applications and workloads reside.

About the Role:

Zscaler and the Zscaler Digital Experience (ZDX) team are seeking a Principal Engineer / Architect for the ZDX Co-Pilot project. You will play a pivotal role in revolutionizing the ZDX platform through the integration of advanced AI and ML technologies, including Large Language Models (LLMs). Your expertise will be key in transforming ZDX into a more intelligent, adaptive, and responsive platform, specifically designed to enhance the digital experience management.

In this role, you will be responsible for pioneering the integration of LLMs and knowledge graphs into the ZDX platform, elevating its capabilities in monitoring, observability, and problem resolution. This integration will empower ZDX Co-Pilot to provide more nuanced and comprehensive insights, automated issue detection, and real-time diagnostics across diverse digital environments.

As a Principal Engineer / Architect on the ZDX Co-Pilot project, you will be at the vanguard of AI and ML innovation in the IT support sector. This role offers a rare chance to lead a strategic initiative that is set to redefine industry standards in digital experience management. Your contributions will be pivotal in advancing Zscaler's technological leadership, significantly impacting our market presence and shaping the future of AI in IT support.

About ZDX:

Zscaler Digital Experience (ZDX) is a monitoring and observability platform that provides insights into the digital experience of users and applications. ZDX leverages AI-driven analytics to offer real-time visibility and diagnostics across any location, network, or device. It enables organizations to proactively identify and resolve performance issues, enhancing user productivity and IT efficiency. ZDX's advanced capabilities include network and application performance monitoring, root cause analysis, and AI/ML frameworks for automated problem detection and resolution. This platform is essential for businesses seeking to optimize their digital infrastructure and ensure a seamless user experience.

Responsibilities: 

• Pioneering the integration and optimization of Large Language Models within the ZDX platform, leveraging your vast experience in AI, ML, and system architecture.
• Develop an extensive knowledge graph to support LLM-based applications
• Designing and implementing AI/ML solutions for sophisticated natural language processing, data analysis, and conversational intelligence
• Leading the project through all stages of development, including initial conception, rigorous testing, beta release, and final deployment, ensuring the delivery of a robust, scalable product.
• Developing a comprehensive LLM adoption playbook for Zscaler, aligning AI strategy with business objectives and technical requirements.
• Facilitating cross-functional collaboration with IT, development, and support teams to ensure the practical application of AI solutions to real-world IT challenges.
• Maintaining and expanding your expertise in AI/ML, Large Language Models, and related technologies, to foster continuous innovation and improvement within the project.

Preferred Qualifications:

• BS or MS in Computer Science, with a substantial background in AI, machine learning, and system architecture.
• 10+ years of professional experience in AI/ML, with specific expertise in natural language processing, AIOps, semantic search, knowledge graphs, ontologies, semantic models, and taxonomies.
• Proven track record in developing and imple