Deployment Architect (Solutions Architect)

monday.com•Denver, CO

3d•$125,000 - $160,000•Hybrid

About The Position

monday.com is hiring a Deployment Architect to join its Professional Services team. The role provides technical leadership for complex enterprise AI deployments, helping customers turn AI ambitions into architectures that support their business. The architect leads technical discovery, designs solutions, estimates effort and consumption impact, and supports the sale of technical services. They carry designs into the forward-deployed engineering team and own architecture standards and reusable reference patterns for the delivery organization. The position is hybrid, with three days per week in the Denver office, and requires willingness to travel up to 20% of the time. The estimated annual base salary range for new Denver hires is $125,000–$160,000. Compensation may also include an annual discretionary bonus or role-based sales incentive plan; certain roles may include equity in the form of RSUs. Visa sponsorship is not available for this role.

Requirements

At least 7 years as a solutions architect or forward-deployed engineer in enterprise software, including recent experience designing AI solutions for external customers.
Demonstrated depth in AI architecture, including agentic systems, LLM-based workflows, tool use, context, and retrieval design, with judgment about when AI is preferable to a deterministic approach.
Experience defining how AI quality is measured and maintained in production, including evaluation, guardrails, human review, and observability.
Enterprise data architecture experience across complex technology landscapes, including ETL, migrations, and conversions, and the ability to assess data readiness for AI.
Fluency in API and event-driven integration, iPaaS and low-code platforms, and custom middleware; knowledge of 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 designs and evaluate engineering approaches.
Working knowledge of enterprise security, compliance, and governance requirements, including customer-data handling by AI systems.
Experience estimating delivery effort and creating statements of work for AI builds, data migrations, integrations, and custom application development, as well as building estimation models others can use consistently.
Commercial acumen to lead customer-facing technical discovery and support the sale of technical services.
Strong customer-facing and presentation skills, excellent written and verbal communication, and the ability to explain technical topics to both technical stakeholders and non-technical audiences.
Detail-oriented, with strong problem-solving and documentation skills; able to work across simultaneous engagements, take initiative, adapt, and demonstrate empathy.
Willingness to travel up to 20% of the time.

Nice To Haves

BA or BS degree.

Responsibilities

Lead technical discovery for Deployment Strategists scoping new work and Account Owners qualifying opportunities within existing accounts, identifying AI, integration, and data requirements before scope and price are committed.
Design advanced AI architecture on the monday AI work platform, including the agents, context, and data layers used by enterprise intelligent workflows.
Architect technical scope beyond native platform capabilities, including integrations, data mobility and migrations, custom applications, and their interfaces.
Estimate delivery effort and the consumption impact of scoped technical work.
Partner with Account Owners and Deployment Strategists to sell forward-deployed engineering services and establish credibility with enterprise architects, security reviewers, and executives.
Produce solution design documents, architecture diagrams, workflow artifacts, and technical content for proposals and statements of work.
Carry designs into delivery for complex engagements by briefing forward-deployed consultants and engineers and providing technical oversight during early execution.
Own technical delivery standards covering architecture, security, governance, scalability, and reference patterns.
Build estimation models, discovery questionnaires, and reusable skill libraries to support accurate, repeatable scoping.
Serve as a technical authority for the delivery team through mentoring and knowledge sharing, and advocate with Product when customer needs exceed current platform capabilities.

Benefits

Competitive salary.
Bonus potential.
Equity eligibility for many roles.
Dedicated learning and development team, AI workshops, bootcamps, and internal hackathons.
Comprehensive medical, dental, and vision insurance.
Generous paid time off, including vacation, holidays, personal leave, and sick leave.
Fully paid parental leave.
Automatic 401(k) contributions.
Employee stock purchase plan allowing employees to purchase company stock at a discount.
Employee Resource Groups and workplace teams supporting a collaborative global culture.