Sr. Architect, AI Engineering

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Security, Cybersecurity, Artificial IntelligenceIndustries

Requirements

Candidates must possess a 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. A proven track record of delivering and optimizing large-scale AI systems in production, including hands-on experience with model compression techniques for efficient deployment, is essential. Deep expertise in major deep learning frameworks like PyTorch or TensorFlow, deploying models in distributed cloud environments (AWS, Azure, GCP), and experience with MLOps and observability tools are required. Strong working knowledge of critical cloud security domains such as Identity and Access Management (IAM), workload protection, network security, and threat intelligence is necessary. Exceptional communication and interpersonal skills are needed to influence diverse stakeholders, from executives to global engineering teams. Preferred qualifications include 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, and demonstrated industry influence through open-source contributions, publications, patents, or thought leadership.

Responsibilities

The Senior Architect, AI Engineering will define, architect, and lead the technical strategy for end-to-end AI solutions to detect, prevent, and mitigate security risks in cloud-native environments, including proactively addressing emerging threats like Agentic AI. Responsibilities include designing, training, and deploying advanced deep learning and multimodal AI models for threat and anomaly detection, optimizing them for performance, scalability, and low-latency inference in production. The role involves building and implementing AI-driven solutions for critical cloud security use cases like intrusion detection, zero-day vulnerability analysis, and real-time attack surface reduction. The architect will partner with product, engineering, and research teams to integrate AI innovation into security products and cultivate internal technical excellence. Additionally, they will represent the company as a recognized expert in AI for cloud security, engaging with strategic customers, conferences, and industry bodies.

Skills

AI Engineering

Deep Learning

Multimodal AI

Cloud-native environments

Threat detection

Anomaly detection

Agentic AI

Scalability

Performance optimization

Zscaler

Cloud-based cybersecurity and secure gateway services

About Zscaler

Zscaler provides cloud-based information security services, focusing on internet, web, and cloud security. Its platform functions as a secure gateway that inspects all internet traffic between users and applications, ensuring that threats are identified and stopped before they can access a client's network. This service is offered through a subscription model, allowing large enterprises and government organizations to select the level of security that meets their needs. Zscaler differentiates itself from competitors by offering a strong partner program that enhances market reach and provides partners with training and resources. The company's goal is to support secure digital transformation for its clients by delivering reliable security solutions.

San Jose, CaliforniaHeadquarters

2008Year Founded

$148.8MTotal Funding

IPOCompany Stage

Enterprise Software, CybersecurityIndustries

5,001-10,000Employees