M

monday.com

Work management platform for teams

Deployment Architect - Solutions Architect

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USA$140k - $180k /yr

About the Job

Requirements

  • Minimum 7 years as a solutions architect or forward-deployed engineer in enterprise software, with recent experience designing AI solutions for external customers.
  • Demonstrated depth in AI architecture, covering agentic systems, large language model-based workflows, tool use, and context and retrieval design, with the judgment to know when an AI approach outperforms a deterministic one.
  • Experience defining how AI quality is measured and maintained in production, spanning evaluation, guardrails, human review, and observability.
  • Enterprise data architecture experience across complex technology landscapes, including data mobility work such as extract, transform, and load; migrations; and conversions, and a read on what makes a customer's data ready for AI to act on.
  • Fluency across integration approaches, including application programming interfaces and event-driven integration, integration-platform-as-a-service and low-code platforms, and custom middleware, and command of the standards behind them, including Representational State Transfer, GraphQL, webhooks, System for Cross-domain Identity Management, Security Assertion Markup Language 2.0, OAuth 2.0, and Model Context Protocol.
  • 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.
  • Experience estimating delivery effort and creating statements of work for AI builds, data migrations, integrations, and custom application development, and building the models that let others estimate consistently.
  • Commercial acumen sufficient 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, with written and verbal communication skills to establish credibility with technical stakeholders and executives and articulate technical topics to a non-technical audience.
  • Detail-oriented with problem-solving and documentation skills, able to work across simultaneous engagements at different stages, with empathy and the ability to take initiative and adapt.
  • Willingness to travel up to 20% of the time.

Responsibilities

  • Lead technical discovery for Deployment Strategists scoping new work and 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 technical scope that exceeds native platform capabilities, spanning integrations, data mobility and migrations, custom applications, and the interfaces between them.
  • Estimate the effort and consumption impact of scoped technical work.
  • Partner with the Account Owner and Deployment Strategist to sell forward-deployed engineering services and establish credibility with enterprise architects, security reviewers, and executives funding the work.
  • Produce solution design documents, architecture diagrams, and workflow artifacts for the delivery team, along with technical content for proposals and statements of work.
  • Carry designs into delivery on complex engagements, brief forward-deployed consultants and engineers on design intent, and provide technical oversight for early-stage execution.
  • Own technical delivery standards for consultants and engineers, covering architecture, security, governance, scalability, and reference patterns.
  • Build estimation models, discovery questionnaires, and reusable skill libraries to enable accurate scoping without an architect present.
  • Serve as the delivery team's technical authority through mentoring and knowledge sharing, and advocate with Product where customer needs outpace the platform.

Desired Qualifications

  • A Bachelor of Arts or Bachelor of Science degree.

About the Company

monday.com

Work management platform for teams

What Monday.com does: It provides a work management platform that helps teams collaborate, track projects, and automate workflows. It uses subscription-based plans in the SaaS model to serve small businesses, large enterprises, and nonprofits across many industries. How the product works: Users build customizable workflows, automate repetitive tasks, and view progress with dashboards. Features include WorkForms for data collection, automated notifications, and integrations with tools like Slack, Google Drive, and Microsoft Teams. This setup centralizes work processes and communication so teams stay organized and focused. How it differs from competitors: It emphasizes end-to-end workflow customization and centralized collaboration across the whole organization, plus a wide range of native integrations to connect with other popular apps. What the goal is: To help teams stay organized, prioritize tasks, and achieve their goals more efficiently.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Tel Aviv-Yafo, Israel
Founded
2012

Recently Posted Jobs

Explore more opportunities at monday.com

See more jobs