Professional Services Consultant – AI Security

Overview

As a Cato AI Security Professional Services Consultant, you help customers implement Cato AI security solutions and translate complex AI security challenges into practical, value-driven outcomes. You’ll build trust with stakeholders, guide governance and architecture decisions, and collaborate across product, support, and engineering to improve offerings. This role combines hands-on cloud security with advisory leadership in AI risk management. You will work with cross-functional teams to deliver secure, scalable AI-enabled networks that align with industry standards and regulatory guidance.

Responsibilities

• Maintain expert-level proficiency with the Cato AI Security solution and keep current with AI security and enterprise IT trends
• Develop relationships with customer stakeholders and partners to drive consultative, prescriptive engagements
• Lead end-to-end engagements implementing Cato AI security for AI risk management, model security, and data protection
• Design secure AI architectures and governance aligned to standards (NIST AI RMF, ISO/IEC 42001, EU AI Act)
• Translate technical findings into actionable recommendations for executive and technical audiences
• Serve as SME on AI and LLM security across the customer base
• Contribute to internal knowledge sharing and enablement materials
• Collaborate with product, support, and engineering to relay field feedback and influence roadmap
• Support pre-sales scoping of professional services for new engagements
• Identify opportunities to expand AI security services and capabilities
• Collaborate with the broader professional services team to develop repeatable best practices
• Operate day-to-day with minimal oversight as a technical escalation point

Key requirements

• 5+ years of cloud architecture experience with AWS or Azure, including hands-on deployment and management of EKS/ECS or AKS
• 3+ years in a customer-facing role in a high-tech vendor context with enterprise consulting or professional services
• Experience with API gateways (e.g., Zuul, Apigee, Kong, Amazon API Gateway, Azure API Management) and AI application gateways (e.g., LiteLLM, Portkey, Helicone, TrueFoundry)
• Strong understanding of public cloud networking (AWS VPCs, Transit Gateway, Direct Connect, Route 53; Azure equivalents)
• Experience in AI/ML infrastructure design including SageMaker, Bedrock, Vertex AI, Databricks, GPU compute, and inference pipelines
• Familiarity with AI threat models (prompt injection, data leakage, model inversion, adversarial attacks)
• IaC proficiency (Terraform, CloudFormation, CDK) with automation scripting (Python, Bash, Go) a plus
• Knowledge of container security, runtime protection, and service mesh (Istio, App Mesh)
• Observability stack experience (CloudWatch, Prometheus, Grafana, Datadog)
• Knowledge of data sovereignty, regulatory frameworks (FedRAMP, SOC 2, ISO 27001, NIST 800-53, GDPR)
• Familiarity with AI security frameworks (NIST AI RMF, ISO/IEC 27001, ISO/IEC 42001, OWASP Top 10 for LLMs) is a plus
• Excellent communication and stakeholder management
• Industry security certifications (CISSP, CCSK, CISM) and AI security credentials
• Strong troubleshooting, organized, and agile in fast-paced environments
• Willingness to travel up to 25%

• excellent communication
• stakeholder management
• trusted advisor mindset
• AWS/Azure cloud architecture
• EKS/ECS or AKS
• API gateways

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