Staff AI Platform Engineer

About Zscaler

Zscaler accelerates digital transformation so our customers can be more agile efficient resilient and secure. Our cloud native Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users devices and applications in any location.

Here impact in your role matters more than title and trust is built on results. We believe in transparency and value constructive honest debatewere focused on getting to the best ideas faster. We build high-performing teams that can make an impact quickly and with high quality. To do this we are building a culture of execution centered on customer obsession collaboration ownership and accountability.

We value high-impact high-accountability with a sense of urgency where youre enabled to do your best work and embrace your potential. If youre driven by purpose thrive on solving complex challenges and want to make a positive difference on a global scale we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.

Our Engineering team built the worlds 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 todays 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.

Were 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

What Were Looking for (Minimum Qualifications)

• 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

What Will Make You Stand Out (Preferred Qualifications)

• 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

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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:

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.