Forward Deployed Engineer

Forward Deployed EngineerLocation: RemoteTax Term (W2, C2C): Full TimeJob Type (Permanent/Contract): PermanentPay Range: $140,000 – $180,000 baseDescription: *** 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 timeDesign and build fullstack applications with a strong data backbone — from UI down to the data layerBuild 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 workflowsDesign data pipelines and engineering workflows that make client data usable, reliable, and AI-readyPrototype and productionize AI-powered features and agents using client dataWork directly with client stakeholders to scope, iterate, and troubleshoot — translating technical tradeoffs into plain languageOwn problems end-to-end: from ambiguous client ask, to architecture, to shipped solutionRequired Skills: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 developmentExperience as a data engineer or working closely with data engineering: ETL/ELT, pipelines, data warehousingProven experience building data integrations, APIs, and connectors across disparate systemsFamiliarity with MCP (Model Context Protocol) or similar tool/connector frameworks for AI systemsComfort working directly with clients — presenting, troubleshooting live, adapting scope in real timeA builder mindset: bias toward shipping, comfortable with ambiguity, allergic to over-processQualifications:2–3 years of professional experience in software/data engineering rolesBachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent practical experience)Travel Requirements:This role requires travel within the United States as necessary to support client engagements, onsite deployments, and key project milestones. Travel frequency will vary by client and project phase.