Staff AI Engineer

About Zscaler

Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) 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. As the operator of the world's largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. 

Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.

We're looking for a seasoned Staff AI Platform Engineer to join our IT Enterprise Data & AI Platform Team. Reporting to the Senior Manager of Enterprise Data Strategy, you will be responsible for:

• Leading the creation of a scalable and modular AI platform utilizing technologies like Qdrant, Anyscale, and Ray for LLM orchestration, vector search, and multi-agent frameworks
• Building essential APIs and infrastructure to enable conversational applications, AI agents, and analytics tools
• Executing workflows for Large Language Models, including inference pipelines, fine-tuning, caching, and evaluation for both open-weight and hosted models
• Deploying AI services on AWS using Kubernetes (EKS), Lambda, and ECS, while fine-tuning vector databases and model runtimes for optimized cost, scalability, and performance
• Partnering with engineering teams for smooth AI integration, establishing governance and security standards, and mentoring junior engineers on best practices in AI infrastructure development and reviews

• 8+ years of experience in software, data, or ML infrastructure engineering, including 3+ years in AI/ML platform development, with strong Python expertise
• Skilled in independently managing complex projects with excellent problem-solving, analytical, and communication abilities
• Proficient in AWS, GCP, or Azure, with experience in MLOps tools like MLflow/Kubeflow, CI/CD pipelines, and infrastructure as code (Terraform/CloudFormation)
• Expertise in model observability, CI/CD processes, and incident response for AI/ML services

• Experience in implementing LLM pipelines with frameworks like LangChain, LlamaIndex, Hugging Face, and using vector databases like Qdrant, Pinecone, or Weaviate
• Proficient in distributed orchestration frameworks like Anyscale or Ray Serve, with expertise in containerized application deployment using Docker, Kubernetes, and Helm charts
• Strong knowledge of LLMOps patterns, including model registry, prompt versioning, and feedback loops

#LI-Hybrid

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At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

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

Learn more about Zscaler's Future of Work strategy, hybrid working model, and benefits here.

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.