Senior Professional Services Consultant - AI Security

About the role

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform.

We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.

Role

We are looking for a Senior Professional Services Consultant - AI Security to join our team. This is a Remote (U.S., Eastern Time Zone) role reporting to the Sr. Manager of Professional Services in the Public Sector Professional Services department.

As a Senior Consultant, you will build long-term, trusted advisor relationships with enterprise Public Sector customers, serving as the primary technical authority and end-to-end delivery owner for tailored AI security solutions.

As organizations rapidly adopt Generative AI, LLMs, and custom AI applications, you will turn complexity into clarity by deploying and optimizing Zscaler's AI Security solutions-including AI Guard across Proxy and Developer Application Security modes, AI Protect, and SPLX automated probing-alongside the broader Zscaler Zero Trust Exchange platform.

U.S. citizenship is required for this position due to the nature of the assigned customer base.

What you'll do (Role Expectations)

• Build long-term, trusted advisor relationships with customers deploying Zscaler AI Guard across both Proxy Mode and Developer/DAS Mode, AI Protect for AI asset management and visibility, 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 to reach internal AI applications, 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 customer needs with cross-functional teams to influence product development
• Produce documentation, best practices, and demos to enable organizational growth

Who You Are (Success Profile)

• You thrive in ambiguity. You are comfortable building the path as you walk it, seeing dynamic environments and ambiguity not as hindrances, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action, operating with integrity and navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out tough technical challenges because you are energized by finding solutions, knowing that solving the hardest problems delivers the greatest customer impact.
• You are a high-trust collaborator. You are ambitious for the team by embracing a challenge culture with clear, respectful feedback to build lasting trust and alignment.
• You are a learner. You bring a growth mindset and an obsession with continuous development, actively seeking feedback to enhance your technical depth and partnership.

What We're Looking for (Minimum Qualifications)

• Strong practical understanding of Large Language Models (LLMs), Natural Language Understanding, prompt engineering, AI red-teaming/probing concepts, and tuning single/multi-class classifiers and Regular Expressions (Regex) to mitigate false positives and negatives in prompt and response detection
• Hands-on experience working 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)
• Proven 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 is required for this position 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, with willingness to travel up to 40% to customer sites as needed

What Will Make You Stand Out (Preferred Qualifications)

• Hands-on experience deploying, operating, and troubleshooting Zscaler solutions (ZIA, ZPA, ZDX, Traffic Forwarding, and DNS controls) alongside 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, backed by credentials such as ZDTA/ZDTE, CISSP, CCSP, CKA, or cloud Architect/Security specialties

#LI-Remote #LI-NH1

Pay and benefits

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 $143,500 - $205,000 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!

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

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.