Agentic Automation Engineer (Information Systems)

Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is 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 and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! We are looking for an AI Builder to design, build, and maintain agentic AI-driven workflows that streamline and automate internal business processes across the company. This role focuses on initiating and orchestrating AI agents, integrating them with existing systems, and reducing manual effort across Sales, Marketing, Order Management, Finance, HR, and more. You will work closely with the Information Systems team and business stakeholders to turn repetitive, human-dependent processes into reliable, AI-powered flows. This is a hands-on builder role, not a research or pure data science position. Key Responsibilities: Agentic AI Automation: Design and implement agent-based AI workflows to automate internal processes end-to-end Build multi-step AI agents capable of: Decision-making Tool usage (APIs, SaaS tools, internal systems) Escalation and exception handling Continuously optimize AI flows to reduce human involvement while maintaining control and auditability AI Tooling Platforms: Implement solutions using Agentic AI platforms, tools and frameworks, such as: OpenAI / Azure OpenAI / Copilot Studio / Gemini Enterprise, AWS bedrock (AgentCore), SFDC Agentforce Low-code / no-code automation tools with AI capabilities (e.g., Make, Workato, UiPath, n8n) Select and evaluate new AI tools to support internal automation initiatives Systems Integration: Integrate AI agents with internal systems such as: CRM (SFDC), ERP (NetSuite), ticketing systems (Jira) Identity and access management Monitoring, logging, and knowledge bases Build and consume APIs to enable agent actions and data retrieval Governance, Reliability Security: Ensure AI workflows comply with security, privacy, and compliance requirements Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed Monitor AI performance, errors, hallucinations, and drift Collaboration Enablement: Partner with business owners to identify automation opportunities Translate business requirements into AI-driven solutions Document AI flows, decision logic, and operational runbooks Educate internal teams on AI capabilities and limitations Required Qualifications: Overall of 5 years of hands-on experience ( 3 years automation, 2 years in GenAI) Hands-on experience building AI-powered workflows or agents Strong understanding of LLMs and prompt engineering Experience with API-based integrations and SaaS systems Familiarity with automation platforms and orchestration tools Experience with agentic patterns (planner–executor, tool-using agents, multi-agent setups) Experience implementing human-in-the-loop and fallback mechanisms Understanding of AI limitations, bias, and reliability concerns Strong problem-solving and systems-thinking mindset Ability to work independently and drive initiatives end-to-end Excellent communication with both technical and non-technical stakeholders ... (truncated, view full listing at source)