$ cat jobs/forward-deployed-ai-engineer-celigo-9d01f36748b9.json
Forward Deployed AI Engineer
Integration meets Innovation At Celigo , we believe integration should empower — not exhaust — innovation. As a modern Integration and Automation Platform (iPaaS), we’re on a mission to simplify how companies integrate, automate, and optimize processes. Powered by game-changing technology like runtime AI and prebuilt, mission-critical integrations, Celigo is redefining how businesses connect their world. The Forward Deployed AI Engineer (FDAE) is a pioneering role at the heart of our customers' agentic transformations. Using Celigo 's strategic frameworks, you'll conduct workshops and interviews with executive team members to identify critical business processes, core challenges, and AI opportunities that Celigo is uniquely positioned to solve - then you'll collaborate with Customer build teams to bring those solutions to life. Embedded directly within Enterprise customer environments, this engineer drives rapid, measurable adoption of Celigo ’s AI capabilities — including AI Studio, agentic workflows, and MCP server orchestration — by identifying high-value business processes ripe for automation and personally building production-grade solutions. What would you do if hired? Conduct workshops and strategy sessions with executive teams, present findings, and translate into design documentation and project plans Utilize Celigo ’s AI capabilities — including AI Studio, agentic workflows, and MCP server orchestration Coordinate with customer data teams to understand data quality and agentic transformation requirements Design intelligent prompts and develop AI agents and solutions that drive real value for customers Set up and maintain MCP servers for scalable integration runtime environments Design and manage APIs, including defining endpoints, authentication, versioning, and governance best practices Co-build alongside customers and partners, sharing best practices and enablement as you go Contribute to proofs-of-concept and MVPs that move from sketch to deployable in