Senior Professional Services Consultant - AI Security

Zscaler

1d•$143,500 - $205,000•Remote

About The Position

Zscaler is seeking a Senior Professional Services Consultant - AI Security to join the Public Sector Professional Services department. This remote U.S. role is for candidates in the Eastern Time Zone and reports to the Sr. Manager of Professional Services. The consultant will build long-term trusted-advisor relationships with enterprise Public Sector customers and serve as the primary technical authority and end-to-end delivery owner for tailored AI security solutions. U.S. citizenship is required because of the assigned customer base. The role focuses on deploying and optimizing Zscaler AI Security solutions—including AI Guard in Proxy and Developer Application Security modes, AI Protect, and SPLX automated probing—alongside the broader Zscaler Zero Trust Exchange platform. The consultant will support customer adoption of Generative AI, LLMs, and custom AI applications, and will execute AI red-teaming and lab replication across cloud and Kubernetes environments. Travel to customer sites may be required up to 40% of the time. The position requires a bachelor's degree in Computer Science, Computer/Electrical Engineering, or a related field; practical expertise in AI and LLM security concepts, APIs, containers, programming or scripting, and cloud networking; and the ability to obtain and maintain a Public Trust or DoD/DoW security clearance or access. The posted base pay range is $143,500–$205,000 USD for this full-time position, excluding any applicable commission, bonus, equity, and benefits.

Requirements

Strong practical understanding of Large Language Models (LLMs), Natural Language Understanding, prompt engineering, AI red-teaming/probing concepts, and tuning single- and multi-class classifiers and Regular Expressions (Regex) to mitigate false positives and negatives in prompt and response detection.
Hands-on experience with REST APIs, HTTP headers, JSON payloads, OAuth/API Key/Bearer Token authentication, inline proxies, API gateways, container orchestration (Docker, Kubernetes, kubectl), and at least one modern programming or scripting language (Python, Jupyter, Java, Golang, or TypeScript).
Expertise in foundational cloud networking design across AWS, Azure, and GCP, including VPC/VNet architecture, compute high availability/failover, routing, network gateways, load balancing, IAM roles, TCP/IP firewall rules, and cloud security groups.
U.S. citizenship, required due to the nature of the assigned customer base.
Bachelor’s degree in Computer Science, Computer/Electrical Engineering, or a related field.
Ability to obtain and maintain a Public Trust or DoD/DoW security clearance or access.
Willingness to travel up to 40% to customer sites as needed.

Nice To Haves

Hands-on experience deploying, operating, and troubleshooting Zscaler solutions (ZIA, ZPA, ZDX, Traffic Forwarding, and DNS controls), with familiarity with internal provisioning, data-plane, and log-collection architectures.
Practical exposure to securing commercial and cloud-hosted LLM platforms (AWS Bedrock, Google Vertex AI/Gemini, Azure OpenAI) in production, performing automated AI vulnerability probing with SPLX or equivalent frameworks, and driving AI governance across regulated Public Sector environments.
Proven capability in leading technical evaluations, building realistic multi-tenant lab replications, and translating complex AI security proofs-of-value into enterprise adoption.
Credentials such as ZDTA/ZDTE, CISSP, CCSP, CKA, or cloud Architect/Security specialties.

Responsibilities

Build trusted-advisor relationships with customers deploying Zscaler AI Guard in Proxy Mode and Developer/DAS Mode, AI Protect, and SPLX automated probing across AWS, Azure, GCP, and Kubernetes environments.
Execute automated AI red-teaming and lab replication by designing cloud networking and firewall connectivity for SPLX workers, configuring target endpoints and probes for vulnerability reporting, and replicating complex customer environments for validation.
Collaborate with stakeholders to envision and implement future-proof, transformative processes.
Advocate for customer needs with cross-functional teams to influence product development.
Produce documentation, best practices, and demonstrations to enable organizational growth.