monday.com - Forward Deployed Engineer

London, UK, Hybrid2w ago

In Office Senior EMEA Cloud Computing Artificial Intelligence Solutions Engineer Software Engineer Claude REST Cursor GraphQL JavaScript

Requirements

• 5+ years as a forward deployed engineer, software engineer, solutions engineer, or technical consultant in enterprise software, with a track record of leading hands-on technical delivery for external customers in complex enterprise environments. • Breadth over specialisation: a strong engineer with AI depth who is comfortable across the stack, rather than a pure frontend or backend specialist. • Fluency in Generative and Agentic AI development: LLM-based workflows, agent orchestration and tool use, context and retrieval design, with AI-assisted editors such as Cursor or Claude Code in daily use. • Experience keeping AI reliable in production: evaluation harnesses, guardrails, human-in-the-loop review, tracing, and the failure modes that only show up once a system is live. • Strong working knowledge of APIs (REST, GraphQL), webhooks, MCP, identity management (SCIM), and authentication protocols (SAML 2.0 / OAuth 2.0). • Software development experience in TypeScript and JavaScript, with depth in React or Node.js; full-stack experience preferred. • Hands-on experience in enterprise data mobility and integrations: the SQL, scripts, and n8n or Workato automations that migrate and transform customer data into target systems. • Production engineering practice: version control, automated testing, CI/CD, and deployment to AWS, GCP, or Azure. • Experience scoping and estimating technical work, and owning delivery against an agreed outcome, timeline, or commercial commitment. • Consultative range and communication skills to understand a business problem, frame a solution for senior client stakeholders, and explain technical topics clearly to a non-technical audience. • Adaptability across customers, technology stacks, and unfamiliar domains, with the resilience to absorb a change of direction mid-engagement. • Comfortable running several engagements at once, with strong project management habits. • Positive attitude, empathy, and high energy; takes initiative and learns new technology to go where the work is. • Willingness to travel up to 20% of the time. • BS or BA in Computer Science, Engineering, or a related field preferred; equivalent professional experience also considered.

Responsibilities

• Own the end-to-end technical design of complex, multi-workstream engagements: architecture, integration approach, security and governance, and the path from pilot to scale. • Lead technical scoping before and after the sale: break a business problem into a deliverable solution, estimate effort and risk, and shape the delivery plan and the commercial model with account and deployment strategy teams. • Deliver outcome-based engagements, where success is measured by the business result in production (throughput, cycle time, manual effort removed), not hours delivered. Define the success metrics, the operating model after go-live, and how the solution keeps improving. • Engineer complex and agentic AI solutions using our developer tools, including the monday.com http://monday.com API, MCP, and apps framework, to deliver data migrations, integrations with core enterprise systems (ERP, CRM, ITSM, data platforms), and custom applications. • Lead technical consulting engagements for customers, applying industry knowledge in the areas of AI transformation, system scale, security, user governance, and data architecture. • Navigate both complex engagements, where you execute defined technical scope within a delivery team, and standalone engagements, carrying customer communication, sequencing, and delivery yourself. • Mentor and review the work of other engineers. Set standards for code quality, testing, documentation, and AI reliability across the team's builds. • Produce the documentation, walkthroughs, and exit artifacts that let customers operate, maintain, and extend what you build. • Advocate for customers with Product and R&D when their needs are not met, and help extend monday.com http://monday.com's product capabilities. • Contribute to the global Services tooling roadmap and shared asset library: internal utilities, reusable components, and reference implementations that make each engagement faster than the last.