Professional Services Consultant - AI Security
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Before you apply
LocationUnited Kingdom, London, England
Work modeon-site
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentProfessional Services
Company size1,001–5,000 people
PostedAug 5, 2026 · 3mo ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Aug 5, 202640% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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)
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)
Excellent communication and stakeholder management skills, capable of influencing at all levels and gaining a 'Trusted Advisor' status with key stakeholders
Industry accredited security certifications (e.g., CISSP, CCSK, CISM) and AI security–specific credentials
Excellent troubleshooting and problem-solving skills with an innate ability to methodically get to the root of issues
Very well organized and work effectively in an agile and fast-paced environment
Solid command of the English language (written and spoken)
Comfortable working within a geographically distributed and diverse team for a hypergrowth global organization
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 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
Additional language skills is a plus
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
Zuul
Apigee
Kong
Amazon API Gateway
Azure API Management
LiteLLM
Portkey
Helicone
TrueFoundry
AWS VPC
AWS Transit Gateway
AWS Direct Connect
AWS Route 53
AWS Gateway Load Balancer
Azure VNet
Azure VNG
Azure ExpressRoute
Azure vWAN
Azure Load Balancer
Azure DNS
AWS SageMaker
AWS Bedrock
Azure AI Foundry
Google Vertex AI
Databricks
GPU-accelerated compute
Terraform
CloudFormation
CDK
Python
Bash
Go
Istio
AWS App Mesh
CloudWatch
Prometheus
Grafana
Datadog
Docker
Kubernetes
Git
About the company
Cato Networks is the converged network and security cloud for the AI era.
As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents.
Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide.
About the role
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.
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, 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 with key stakeholders
•
Industry accredited security certifications (e.g., CISSP, CCSK, CISM) and AI security–specific credentials
•
Excellent troubleshooting and problem-solving skills with an innate ability to methodically get to the root of issues
•
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 is 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