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About the Role
As a Cato AI Security Professional Services Consultant, you will be a trusted advisor to our customers, providing technical guidance and direction to ensure the smooth and successful implementation of the Cato AI security solution. You will help customers navigate their AI security implementation journey, focusing on AI risk management, model security, and data protection.
Responsibilities
- Maintain expert-level implementation proficiency of the Cato Networks AI Security solution and stay current with AI security and enterprise IT infrastructure trends.
- Develop strong relationships with key customer stakeholders and partners through a consultative and prescriptive approach.
- Lead end-to-end customer engagements for implementing Cato AI security solutions.
- Design secure AI architectures and establish governance frameworks aligned with standards like 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.
- Contribute to internal knowledge sharing, solution playbooks, and enablement materials.
- Collaborate with product management, support, and engineering teams to provide field feedback and influence roadmap priorities.
- Support pre-sales scoping of professional services for new customer engagements.
- Identify opportunities to expand customer value through additional AI security services.
- Synthesize field experiences and trends into repeatable technical best practices.
- Operate with minimal oversight as a point of technical escalation to ensure timely issue resolution.
- Foster collaboration with the professional services team to synthesize experiences and trends into repeatable technical best practices.
Requirements
- 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.
- 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.
- 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, NIST 800-53, HIPPA, PCI, HITRUST, GDPR).
- Familiarity with data protection regulations and AI Security frameworks (e.g., GDPR, NIST AI RMF, ISO/IEC 27001, ISO/IEC 42001, OWASP Top 10 for LLMs, MITRE ATLAS) is a plus.
- Excellent communication and stakeholder management skills, capable of influencing at all levels and gaining a ‘Trusted Advisor’ status.
- Industry accredited security certifications (e.g., CISSP, CCSK, CISM) and AI security–specific credentials.
- Excellent troubleshooting and problem-solving skills.
- Very well organized and work effectively in an agile and fast-paced environment.
- Solid command of the English language (written and spoken) with additional language skills being a plus.
- Comfortable working within a geographically distributed and diverse team for a hypergrowth global organization.
- Ability to travel up to 25% of the time for customer on-site meetings and various company meetings.
Skills
- AWS
- Azure
- Amazon EKS
- Amazon ECS
- Azure Kubernetes Service
- API Gateways
- LiteLLM
- Portkey
- Helicone
- TrueFoundry
- Public Cloud Networking
- AWS VPCs
- AWS Transit Gateway
- AWS Direct Connect
- AWS Route 53
- AWS Gateway Load Balancer
- Azure VNets
- Azure VNGs
- Azure ExpressRoute
- Azure vWAN
- Azure Load Balancer
- Azure DNS
- AI/ML Infrastructure
- AWS SageMaker
- AWS Bedrock
- Azure AI Foundry
- Google Vertex AI
- Databricks
- GPU-accelerated compute
- Model inference pipelines
- AI Threat Landscape
- LLM Threat Landscape
- Prompt Injection
- Data Poisoning
- Data Leakage
- Data Exfiltration
- Model Inversion
- Model Manipulations
- Model Poisoning
- Adversarial Attacks
- Infrastructure as Code (IaC)
- Terraform
- CloudFormation
- CDK
- Python
- Bash
- Go
- Container Security
- Runtime Protection
- Service Mesh Architectures
- Istio
- App Mesh
- Observability
- Monitoring Stacks
- CloudWatch
- Prometheus
- Grafana
- Datadog
- Data Sovereignty
- Data Residency
- Compliance Frameworks
- FedRAMP
- SOC 2
- ISO 27001
- NIST 800-53
- HIPPA
- PCI
- HITRUST
- GDPR
- Data Protection Regulations
- NIST AI RMF
- ISO/IEC 42001
- OWASP Top 10 for LLMs
- MITRE ATLAS
- Communication Skills
- Stakeholder Management
- CISSP
- CCSK
- CISM
- Troubleshooting
- Problem-Solving
- Agile Methodologies
- Fast-paced Environment Management
- English Language Proficiency
Experience Level
- 5+ years of experience in cloud architecture
- 3+ years of experience in a customer-facing role
About the Company
- Cato Networks is the first company to converge enterprise networking and security into one centralized and global service delivered by cloud.
- 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.
- A market expected to reach $28.5 billion by 2028.
- Building a cutting-edge enterprise network and secure cloud platform.
- On a fast track to becoming the worldwide market leader.