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Sr. Architect, AI Engineering

Remote - USA

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. 

 

Job Description:

We are seeking a Senior Architect, AI Engineering that would report into our Senior Director, Engineering (Emerging Tech).  You will play a pivotal role in shaping how we leverage cutting-edge deep learning and multimodal AI to secure large-scale distributed systems. As a recognized technical leader, you will influence product strategy, mentor teams globally, and deliver innovations that safeguard enterprises in dynamic cloud environments.  This is a remote role with the United States.  In this position you will:

  • Define, architect, and lead the technical strategy for end-to-end AI solutions that detect, prevent, and mitigate security risks in cloud-native environments, including proactively addressing emerging threats like Agentic AI.
  • Design, train, and deploy advanced deep learning and multimodal AI models for threat and anomaly detection, optimizing them for performance, scalability, and low-latency inference in production.
  • Build and implement AI-driven solutions for critical cloud security use cases, such as intrusion detection, zero-day vulnerability analysis, and real-time attack surface reduction.
  • Partner with product, engineering, and research teams to integrate AI innovation into security products and cultivate internal technical excellence.
  • Represent the company as a recognized expert in AI for cloud security, engaging with strategic customers, conferences, and industry bodies.

What We're Looking for (Minimum Qualifications):

  • Ph.D. or equivalent experience in AI/ML, Computer Science, or a related field, with a strong focus on deep learning, multimodal models, or security applications.
  • Proven track record of delivering and optimizing large-scale AI systems in production, including hands-on experience with model compression techniques for efficient deployment.
  • Deep expertise in major deep learning frameworks (e.g., PyTorch, TensorFlow), deploying models in distributed cloud environments (e.g., AWS, Azure, GCP), and experience with MLOps and observability tools.
  • Strong working knowledge of critical cloud security domains, including Identity and Access Management (IAM), workload protection, network security, and threat intelligence.
  • Exceptional communication and interpersonal skills, with the ability to influence diverse stakeholders from executives to global engineering teams.

What Will Make You Stand Out (Preferred Qualifications):

  • Deep expertise in applying Large Language Models (LLMs) and multimodal foundation models to cybersecurity use cases.
  • Familiarity with cutting-edge security and privacy technologies for AI, including confidential computing, secure enclaves, and privacy-preserving machine learning.
  • Demonstrated industry influence through open-source contributions, recognized publications, patents, or thought leadership in AI or security.

#LI-BH1

#LI-Remote

 

Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.

Base Pay Range

$231,000 - $330,000 USD

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.

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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.

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