Forward Deployed Engineer

*** is looking for a Forward Deployed Engineer to sit at the intersection of our clients’ data, systems, and AI-native solutions. This is not a back-office engineering role - you’ll be embedded directly with client teams, translating messy real-world data and legacy systems into working AI-powered integrations, fast. We’re specifically looking for someone who thinks like a builder-consultant. If you’ve spent your career inside traditional systems integrators shipping templated, slow-moving projects, this isn’t the right fit. We want someone who’s comfortable owning ambiguity, shipping fast, and adapting solutions live in front of a client. Role and Responsibilities: Deploy directly into client environments to build, integrate, and troubleshoot data and AI systems in real time * Design and build fullstack applications with a strong data backbone - from UI down to the data layer * Build and maintain data integrations, APIs, and connectors across a wide range of client systems (CRMs, ERPs, internal tools, third-party platforms) * Develop and deploy MCP (Model Context Protocol) servers/connectors to plug client data and tools into AI workflows * Design data pipelines and engineering workflows that make client data usable, reliable, and AI-ready * Prototype and productionize AI-powered features and agents using client data * Work directly with client stakeholders to scope, iterate, and troubleshoot - translating technical tradeoffs into plain language * Own problems end-to-end: from ambiguous client ask, to architecture, to shipped solution

Embedded Systems, Artificial Intelligence (AI), Consulting, System Integration (SI), Identify Issues, Customer Relationship Management (CRM) Systems, Application Programming Interface (API), Customer/Client Research, MCP - Microsoft Certified Professional, Data Management, Strong fullstack engineering skills, with a genuine data background (not just consuming APIs - understanding data modeling, pipelines, and quality issues) * Hands-on experience with AI/LLM-powered application development * Experience as a data engineer or working closely with data engineering: ETL/ELT, pipelines, data warehousing * Proven experience building data integrations, APIs, and connectors across disparate systems * Familiarity with MCP (Model Context Protocol) or similar tool/connector frameworks for AI systems * Comfort working directly with clients - presenting, troubleshooting live, adapting scope in real time * A builder mindset: bias toward shipping, comfortable with ambiguity, allergic to over-process Qualifications: 2-3 years of professional experience in software/data engineering roles * Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent practical experience)