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Engineering Team Lead - Agentic System

3/15/2026

The role involves owning the architecture and roadmap for the Knowledge & Context platform, building scalable data ingestion pipelines, and leading the development of state-awareness and memory infrastructure for AI agents. This includes designing orchestration and middleware for multi-agent collaboration.

Working Hours

40 hours/week

Company Size

1,001-5,000 employees

Language

English

Visa Sponsorship

About The Company

Outpace everyone with the best AI work platform. monday.com brings people, workflows, and AI agents together on one platform, so teams can plan, execute, and deliver with exponential impact. monday sidekick is the digital worker that thinks with you, creates for you, and moves work forward. monday vibe lets you build custom business software in minutes. AI Blocks and AI Workflows automate everything at scale. And monday agents multiply your team's capacity: an always-on AI workforce that handles specialized tasks across every department. From work management to CRM, dev, service, and campaigns, it all runs on one connected, context-aware platform. Trusted by 250,000+ customers, including over 60% of the Fortune 500, across 200+ countries. monday.com has offices in Tel Aviv, New York, Miami, Chicago, Denver, London, Warsaw, Sydney, Melbourne, São Paulo, and Tokyo.

About the Role

We are the Tech & AI group within Monday’s Customer organization, building the “Agentic OS” - a unified agent architecture that delivers enterprise-level service through AI.

As the Engineering Team Lead - Agentic System, you will own the Data, Knowledge, and Context layers that power our agents. This is the most senior engineering role in the group, responsible for translating agentic strategy into scalable, production-grade systems.

You will partner closely with Product to build the orchestration engine behind our AI agents, enabling true state-awareness and persistent memory across agents

About The Role

Own the architecture and roadmap of the Knowledge & Context platform
Build scalable data ingestion pipelines (Gong, Slack, internal systems, etc.)
Lead the development of our state-awareness and memory infrastructure
Design orchestration and middleware for multi-agent collaboration
Manage and mentor a high-performing, AI-native engineering team
Serve as the technical authority in cross-functional decision-making

Requirements

3 years of experience leading engineers while remaining deeply technical
Strong background in platform engineering, distributed systems, and data pipelines
Hands-on experience with RAG at scale and LLM orchestration frameworks (LangChain, LangGraph, or similar)
Proven track record of taking AI products from prototype to production
Ability to translate complex architecture into clear execution plans
Business-oriented mindset with strong Product partnership

Social Title

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Social Description

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Our Team

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Position Type

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Key Skills

Platform EngineeringDistributed SystemsData PipelinesRAG at ScaleLLM OrchestrationLangChainLangGraphSystem ArchitectureTeam LeadershipAI Native Engineering