AI Team Lead

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 a Hands-On Team Lead – Agentic Engineering to lead, build, and actively contribute to a new team focused on applying AI agents, and intelligent workflows to improve business processes across the organization.

This role is both a technical leadership role and a hands-on engineering role. The successful candidate will manage the first Agentic Engineer, help grow the team, and personally contribute to the design, development, integration, and deployment of agentic AI solutions.

The ideal candidate is someone who can lead from the front: writing code, designing architectures, building prototypes, reviewing technical work, solving complex implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI-driven solutions.

Responsibilities:

Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
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 and IS teams 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

Requirements:

3+ years as a hands-on as lead engineer, solution architect, AI lead or similar role.
1-2+ year proven experience with AI solutions.
Managerial Experience for small teams, either direct or matrix based.
Strong hands-on software development experience, including writing, maintaining, and delivering production-quality code.
Proven experience managing, mentoring, or technically leading engineers.
Strong GenAI development experience with LLMs, SLMs, prompt engineering, context engineering, and agent-based systems.
Strong Python skills and a production-focused engineering mindset.
Experience designing and building agentic AI workflows, RAG pipelines, LLM-powered applications, copilots, or intelligent automation solutions.
Experience bringing AI agents, GenAI applications, or automation solutions into production.
Solid understanding of APIs, integrations, databases, cloud environments, monitoring, logging, security, and deployment practices.
Ability to work directly with non-technical stakeholders and translate business needs into technical solutions.
Experience with AWS AgentCore ,n8n, UiPath, Make,Workato , or similar is an advantage.
Experience with enterprise AI governance, security, compliance, and privacy requirements is an advantage.
Strong builder mindset: proactive, independent, hands-on, business-oriented, and impact-driven.