Deployment Architect

monday.com; New York, Northern (NY, KY); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

Paid time off

Parental leave

401(k) contributions

Employee stock purchase plan

Job summary

monday.com is seeking a Deployment Architect to join our Professional Services team in New York. You will own the architecture for the most complex AI deployments, lead technical discovery, design solutions, estimate work, and support the sale of technical services, then drive delivery with engineers.

This hybrid role requires deep AI architecture expertise, data integration, security governance, and strong customer-facing skills to translate business needs into scalable deployments.

Qualifications

• Minimum 7 years as a solutions architect or forward-deployed engineer in enterprise software.
• Depth in AI architecture, including agentic systems, LLM workflows, tool use, and retrieval design.
• Experience defining AI quality, evaluation, guardrails, and observability.
• Enterprise data architecture with ETL, migrations, conversions, and AI readiness awareness.
• Fluency across API and event-driven integration, REST/GraphQL/webhooks/SAML2.0/OAuth2.0.

Responsibilities

• Lead technical discovery for scoping new AI deployments and qualifying opportunities.
• Design advanced AI architecture on the monday AI work platform across agents, context, and data layers.
• Architect scope for integrations, data migrations, and custom interfaces.
• Estimate effort and consumption impact to avoid misallocated capacity.
• Partner with sales to sell forward-deployed engineering services to execs.
• Produce design documents, diagrams, and workflow artifacts for delivery.
• Translate design into delivery with forward-deployed consultants and engineers.
• Own technical delivery standards covering architecture, security, governance, and scalability.
• Build estimation models and reusable libraries to streamline scoping.
• Serve as technical authority and mentor the delivery team, engaging with Product as needed.

Skills

AI architecture

Solutions architecture

Forward-deployed engineering

Enterprise software

Python

TypeScript

Data integration

Security & governance

Customer-facing skills

Education

BA or BS degree preferred

Tools

Cursor

Claude Code

Job description

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

Our team is growing and we are looking for a Deployment Architect to join our Professional Services team! In this role, 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.

Please note that this is a hybrid position with three days/week in our New York office.

Responsibilities

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.

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, LLM-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 ETL, migrations, and conversions, and a read on what makes a customer's 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 to 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 other people 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 superb written and verbal communication, able to establish credibility with technical stakeholders and executives and to articulate technical topics to a non-technical audience.

Detail-oriented with strong problem-solving and documentation skills, able to work across simultaneous engagements at different stages, with a positive attitude, empathy, and the ability to take initiative and adapt.

BA or BS degree preferred.

The estimated annual base salary range for this role is $140,000-$170,000. Actual compensation will be determined based on factors including education, training, experience, business needs, and work location. In addition to base salary, employees are eligible for either an annual discretionary bonus or a role-based, sales incentive plan. Certain roles may also include equity in the form of RSUs. Full compensation details, including any applicable bonus or incentive plan, will be provided in the hiring process.

monday.com offers a competitive benefits package, including comprehensive medical/dental/vision insurance, generous paid time off (vacation, holidays, personal leave and sick leave), fully paid parental leave, automatic 401(k) contributions, the opportunity to purchase company stock at a discount (ESPP), and more. Full benefits details are available upon request. Applications are accepted on a rolling basis with no set deadline.

We believe in equal opportunity. At monday.com, we believe everyone should feel they belong - exactly as they are. We're an equal opportunity employer, committed to an open, accessible, and inclusive workplace free from discrimination or harassment of any kind. All qualified candidates will be considered for employment, regardless of race, color, religion, nationality, sexual orientation, gender identity, age, marital status, pregnancy, family or parental status, disability, veteran status, or any other characteristic protected by law. If you need support or accommodation during the hiring process, we're here to help.

Meet the Services team

We enable our customers to achieve their business goal, by transforming the way their organizations work.With expert guidance, deep partnerships, and a commitment to excellence, we act as a trusted advisor, delivering value and success through monday.com-based solutions.