Professional Services Consultant - AI Security

catonetworks; Boise (ID); On-site; USD 140,000 - 190,000; Full time

Job summary

Cato Networks seeks an AI Security Professional Services Consultant to guide customers through AI security implementations and risk management, delivering expert advisory from design to deployment.

You will lead end-to-end engagements, design secure AI architectures, and ensure governance aligned with standards such as NIST AI RMF and ISO 27001, while translating complex findings for executives and technical teams.

Qualifications

• 5+ years of cloud architecture experience with AWS/Azure and hands-on deployment
• 3+ years in a customer-facing role leading enterprise engagements
• Experience with API gateways (e.g., API Gateway, Kong, Apigee) and AI gateways
• Solid understanding of cloud networking constructs (VPCs, Transit Gateway, ExpressRoute)
• Experience designing and securing AI/ML infrastructure (SageMaker, Vertex AI)
• Familiarity with IaC (Terraform, CloudFormation, CDK) and scripting (Python/Bash/Go)
• Knowledge of AI/LLM threat models and security constraints

Responsibilities

• Maintain expert-level implementation proficiency of the Cato AI Security solution
• Develop relationships with customer stakeholders adopting a consultative approach
• Lead end-to-end engagements for AI risk management and data protection
• Design secure AI architectures and governance aligned to standards (NIST AI RMF, ISO 27001)
• Translate technical findings into actionable recommendations for executives and engineers
• Serve as SME on AI and LLM security across the customer base
• Contribute to knowledge sharing and enablement materials for partners and customers
• Collaborate with product, support and engineering to influence roadmap priorities
• Support pre-sales scoping of professional services for new engagements
• Identify opportunities to expand value with AI security services
• Synthesize field experiences into best practices with other teams
• Operate day-to-day as a technical escalation point

Skills

Cloud architecture

AWS

Azure

Kubernetes

AI/LLM security

Terraform

CloudFormation

CDK

Security frameworks

Customer-facing consulting

Networking concepts

Tools

Terraform

CloudFormation

CDK

Prometheus

Grafana

Datadog

Istio

App Mesh

Job description

Welcome to the future of cloud networking and security!

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato's unique technology inspired a brand-new product category, later named "SASE" by Gartner and a market expected to reach $28.5 billion by 2028.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader - don't miss it!

As a Cato AI Security Professional Services Consultant , you will be a trusted advisor to our customers to help see them through their AI security implementation journey. You will provide technical guidance and direction to ensure the Cato AI security solution's smooth and successful implementation.

Key Traits

• Curiosity - You have a desire to truly understand our customers' business needs.
• Creativity - You can find a sustainable path to yes.
• Empathy - You connect at a human level with our customers, and you genuinely care.

Responsibilities

• Maintain expert-level implementation proficiency of the Cato Networks AI Security solution while keeping abreast of the dynamic AI security and enterprise IT infrastructure landscape
• Develop meaningful relationships with key customer stakeholders and their partners, adopting a consultative and prescriptive approach that inspires trust and confidence
• Lead end-to-end customer engagements implementing Cato AI security solution for AI risk management, model security, and data protection so that our customers can realize the total value of their investment in our technology
• Work with customer teams to design secure AI architectures and establish governance frameworks aligned to standards such as NIST AI RMF, ISO/IEC 42001, and EU AI Act guidance
• Translate technical findings into actionable recommendations for both executive and technical audiences
• Serve as a subject matter expert on AI and LLM security across the Cato Networks customer base
• Contribute to development of internal knowledge sharing, solution playbooks, and enablement materials for partners and customers
• Foster collaboration with our product management, support and engineering teams by providing feedback from the field on features and functionality, influencing roadmap priorities based on customer needs and emerging threats
• Support pre-sales scoping of professional services for new customer engagements
• Identify opportunities to expand customer value through additional AI security services and capabilities
• Collaboration with greater professional services team to help synthesize experiences and trends observed in the field into repeatable technical best practices in collaboration with other Cato functions
• Operate day-to-day with minimal oversite as a point of technical escalation to provide guidance on and ensure timely resolution of any issues

Qualifications

• 5+ years of experience in cloud architecture with a primary focus on AWS or Azure, including hands-on deployment and management of Amazon EKS or ECS, or Azure Kubernetes Service and hybrid connectivity services
• 3+ years of experience in a customer-facing role (e.g., consulting, professional services, pre-sales, managed services) for a high-tech software or technology vendor with a proven track record leading enterprise consulting or professional services engagements
• Exposure to implementation of API gateways (e.g., Zuul, Apigee, Kong, Amazon API Gateway, Azure API Management) and AI application specific gateways (e.g., LiteLLM, Portkey, Helicone, TrueFoundry)
• Solid understanding of public cloud networking constructs (e.g., AWS VPCs, Transit Gateway, Direct Connect, Route 53, and Gateway Load Balancer - Azure VNets, VNGs, ExpressRoute, vWAN, Load Balancer, and DNS)
• Experience designing and securing AI/ML infrastructure including AWS SageMaker, AWS Bedrock, Azure AI Foundry, Google Vertex AI, Databricks, GPU-accelerated compute, and model inference pipelines
• Exposure to unique threat landscape for AI and LLMs including AI specific threat models and risks (e.g., prompt injection, data poisoning/leakage/exfiltration, model inversion/manipulations/poisoning, and other adversarial attacks)
• Proficient with Infrastructure as Code (IaC) using Terraform, CloudFormation, or CDK with version-controlled deployment pipelines and automation scripting skills in Python, Bash, or Go is a plus
• Familiarity with container security, runtime protection, and service mesh architectures (Istio, App Mesh)
• Practical experience with observability and monitoring stacks (e.g., CloudWatch, Prometheus, Grafana, Datadog)
• Knowledge of data sovereignty, residency requirements and compliance frameworks relevant to AI workloads (e.g., FedRAMP, SOC 2, ISO 27001