Professional Services Consultant (AI Security)

TL;DR

Professional Services Consultant (AI Security): Advising customers on AI security implementation and providing technical guidance for the Cato AI security solution with an accent on designing secure AI architectures, establishing governance frameworks, and addressing unique AI/LLM threat landscapes. Focus on technical leadership in deploying and configuring AI security for data flows, API calls, and model interactions, and serving as a subject matter expert.

Location: Remote, worldwide, with up to 25% travel for customer and company meetings.

Company

hirify.global is a pioneer in converging enterprise networking and security into a centralized, global cloud service, creating the SASE market.

What you will do

• Advise customers and lead end-to-end engagements for implementing Cato AI security solutions.
• Provide technical leadership in deploying and configuring AI security for data flows, API calls, and model interactions.
• Design secure AI architectures and establish governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act).
• Serve as a subject matter expert on AI and LLM security across Cato’s customer base.
• Contribute to knowledge sharing, solution playbooks, and enablement materials for partners and customers.
• 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 (e.g., prompt injection, data poisoning, model inversion).
• Proficiency in RESTful API design and security (e.g., OAuth2, JWT, API Gateway).
• Solid command of the English language (written and spoken).

Nice to have

• Understanding of AI system architectures, data pipelines, and MLOps.
• Experience implementing AI-specific application security controls (e.g., guardrails, filters, model observability).
• Hands-on experience with public cloud AI/ML application frameworks (e.g., AWS SageMaker, Azure AI Foundry, Google Vertex AI).
• Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain).
• Experience with containerization and orchestration (e.g., Docker, Kubernetes) and CI/CD pipelines.
• Knowledge of RAG architectures and vector databases.
• Proficiency with Infrastructure-as-Code and automation (e.g., Terraform, Python) and DevSecOps practices.
• Coding experience in Go, TypeScript, or Java.

Culture & Benefits

• Work in a geographically distributed and diverse team.
• Operate day-to-day with minimal oversight.
• Join a hypergrowth global organization building a cutting-edge cloud platform.
• Foster collaboration with product management, support, and engineering teams.
• Work effectively in an agile and fast-paced environment.
• Opportunity to influence roadmap priorities based on customer needs and emerging threats.