AI Team Lead

3 weeks, 6 days ago
Full-time
Senior
Software Development
Cato Networks

Cato Networks

Cato Networks is the world's leading single vendor SASE platform that converges SD WAN, security, global backbone, and remote access into a global cloud-native service. Their robust platform optimizes and secures application access for all users and lo...

Diversified Telecommunication Services
251-1K
Founded 2015
$770M raised

Description

  • 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 such as agents, workflows, and copilots.
  • Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows.
  • Validate company data quality, uncover gaps, and ensure AI solutions are built on solid foundations.
  • Take solutions from idea to prototype to production.
  • 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.
  • Document AI flows, decision logic, and operational runbooks while educating internal teams on AI capabilities and limitations.

Requirements

  • 3+ years of hands-on experience as a lead engineer, solution architect, AI lead, or similar role.
  • 1-2+ years of proven experience with AI solutions.
  • Managerial experience leading small teams, either directly or in a matrix structure.
  • 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 tools 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.

Interested in this position?

Apply directly on the company website

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