TL;DR

Professional Services Consultant (AI Security): Advising customers on AI security implementation and providing technical guidance with an accent on AI risk management, model security, and data protection. Focus on designing secure AI architectures, establishing governance frameworks, and translating technical findings into actionable recommendations.

Location: Remote (Global) with up to 25% travel required for customer and company meetings.

Salary: $130,000 – $150,000

Company

%hirify_global% is a company converging enterprise networking and security into a centralized, cloud-delivered service known as SASE.

What you will do

Lead end-to-end customer engagements for AI security solution implementation.
Provide technical leadership in deploying and configuring AI Security solutions for data flows, APIs, and model interactions.
Design secure AI architectures and establish governance frameworks aligned with standards like NIST AI RMF and ISO/IEC 42001.
Serve as a subject matter expert on AI and LLM security for Cato’s customer base.
Contribute to internal knowledge sharing, solution playbooks, and enablement materials.
Collaborate with product, support, and engineering teams to influence roadmap priorities based on customer needs.

Requirements

5+ years of experience in cybersecurity, risk management, and/or application development security.
5+ years of experience in a customer-facing role (e.g., consulting, professional services, pre-sales) for a high-tech software vendor.
Proven track record leading enterprise consulting or professional services engagements.
Exposure to unique threat landscapes for AI and LLMs, including prompt injection, data poisoning, and model inversion.
Proficiency in RESTful API design and security (OAuth2, JWT, API Gateway).
Experience with AI agents, tool-calling frameworks, and orchestration.
Familiarity with data protection regulations and AI Security frameworks (e.g., GDPR, OWASP Top 10 for LLMs).
Solid command of the English language (written and spoken).
Ability to travel up to 25% of the time for customer on-site and company meetings.

Nice to have

Understanding of AI system architectures, data pipelines, and MLOps.
Experience implementing AI-specific application security controls (e.g., guardrails, filters, AI red teaming).
Hands-on experience with public cloud AI/ML application frameworks (e.g., AWS SageMaker, Azure AI Foundry).
Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain).
Experience with containerization (Docker, Kubernetes) and Infrastructure-as-Code (Terraform, Python).
Industry accredited security certifications (e.g., CISSP, CCSK, CISM) and AI security-specific credentials.
Coding experience in Go, TypeScript, or Java.

Culture & Benefits

Join a company that is building a cutting-edge enterprise network and secure cloud platform.
Work within a geographically distributed and diverse team for a hypergrowth global organization.
Cato operates with high trust and transparency, openly stating pay ranges for roles.
As an EEO/Affirmative Action Employer, all qualified applicants receive consideration for employment.