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Monday.com is building a forward-deployed engineering function that scopes, prices, and architects bespoke AI agent deployments for enterprise customers, signaling that it is selling AI as a services-heavy implementation rather than a self-serve software product.
monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition.
About The Role
As a Deployment Architect, you will be the technical depth behind our most complex AI deployments, shaping how enterprise customers move from an ambition for AI to an architecture that runs their business. You will lead technical discovery, design the solution, estimate the work, and support the sale of technical services, then carry that design into the forward deployed engineering team that builds it. You will also own the architecture, standards, and reference patterns our delivery organization works to, so the quality of a deployment never depends on who happened to be in the room when it was scoped.
Requirements
Lead technical discovery for the Deployment Strategists scoping new work and for Account Owners qualifying opportunities inside existing accounts, surfacing AI, integration, and data requirements before scope and price are committed.
Design advanced AI architecture on the monday AI work platform, spanning the agents, context, and data layers that intelligent workflows run on in an enterprise environment.
Architect the technical scope that exceeds native platform capabilities, spanning integrations, data mobility and migrations, custom applications, and the interfaces between them.
Estimate the effort and the consumption impact of the technical work you scope, since an incorrect estimate spends capacity the customer expected to use elsewhere.
Partner with the Account Owner and the Deployment Strategist to sell forward deployed engineering services, establishing credibility with enterprise architects, security reviewers, and the executives funding the work.
Produce the solution design documents, architecture diagrams, and workflow artifacts the delivery team builds from, and the technical content behind proposals and statements of work.
Carry your design into delivery on the most complex engagements, briefing forward deployed consultants and engineers on the intent and providing technical oversight for early-stage execution.
Own the technical delivery standards our consultants and engineers build to, covering architecture, security, governance, scalability, and the reference patterns behind each.
Build the estimation models, discovery questionnaires, and reusable skill libraries that encode how work gets delivered, so most scoping happens accurately without an architect in the room.
Serve as the technical authority the delivery team relies on, raising capability through mentoring and knowledge sharing, and advocating with Product where customer needs outpace the platform today.
Role KPIs
Solution quality: architecture reviews passed, delivery team adherence to standards, and absence of rework caused by design gaps.
Estimation accuracy: effort estimates and consumption projections on scoped technical work.
Technical presales contribution: discovery coverage and commercial support on opportunities requiring architectural depth.
Practice standards: coverage and currency of architecture patterns, estimation models, discovery questionnaires, and reusable skill libraries.
Team capability uplift: mentoring impact and knowledge-sharing contribution to the delivery organization.
Customer satisfaction (CSAT) on engagements where architectural oversight was provided.
The expectations are to maintain a 40% billable and 70% productive utilization.
Solutions architecture or forward deployed engineering in enterprise software, with recent experience designing AI solutions for external customers.
Depth in AI architecture, covering agentic systems, LLM-based workflows, tool use, and context and retrieval design, with judgment on when an AI approach outperforms a deterministic one.
Experience measuring and maintaining AI quality in production, spanning evaluation, guardrails, human review, and observability.
Enterprise data architecture experience across complex technology landscapes, including data mobility work such as ETL, migrations, and conversions, and a read on what makes customer data ready for AI to act on.
Fluency across integration approaches — API and event-driven integration, iPaaS and low-code platforms, and custom middleware — and command of the standards behind them, including REST, GraphQL, webhooks, SCIM, SAML 2.0/OAuth 2.0, and MCP.
Working proficiency in Python or TypeScript and regular use of AI-assisted editors such as Cursor or Claude Code, sufficient to prototype a design and evaluate the approach an engineer proposes for building it.
Working knowledge of enterprise security, compliance, and governance requirements, including how AI systems handle customer data, and the ability to hold a design to them under review.
Demonstrated ability to estimate delivery effort and create statements of work for AI builds, data migrations, integrations, and custom application development, and build models that let others estimate consistently.
Commercial acumen to run technical discovery in front of a customer and support the sale of technical services rather than just deliver them.
Strong customer-facing and presentation skills, able to establish credibility with technical stakeholders and executives and articulate complex topics to a non-technical audience.
Detail-oriented with strong problem-solving and documentation skills, comfortable working across simultaneous engagements at different stages, with empathy and the ability to take initiative and adapt.
BA or BS degree preferred.
What monday.com can offer you:
Join a customer-obsessed team where transparency and ownership are how we actually operate - not just things we put on a wall
Work on a multi-product suite powered by advanced AI, where what you ship reaches hundreds of thousands of customers worldwide
Competitive salary, benefits, bonus potential, and equity eligibility for many roles — we believe people should share in our success
Grow fast through a dedicated L&D team, AI workshops, bootcamps, and internal hackathons - the industry moves quick and so do we
A collaborative, global culture backed by Employee Resource Groups and workplace teams across New York, Tel Aviv, London, Munich, Warsaw, Tokyo, Sydney, and more
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