Forward Deployed Engineer

🕒 vor 2 Monaten

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $150.000 - $175.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

👷🏻‍♀️ Ingenieur

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CData Software

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

☁️ SaaS

🏢 Unternehmen

🔌 API

💰 €350.000.000 Private equity im 2024-07

SaaS • Enterprise • API

CData Software ist ein Anbieter von unternehmensgerechter Datenkonnektivitäts- und Integrationssoftware, die live, kontextbezogenen und sicheren Zugriff auf Hunderte von lokalen und Cloud-Datenquellen bietet. Die Plattform umfasst standardbasierte Treiber (ODBC, JDBC, ADO. NET), Sprach-Connectoren (Python, Java), API-Server-Funktionalität, ETL/ELT- und Echtzeit-Synchronisierungstools sowie eingebettete Connectoren für Softwareanbieter. CData bietet auch KI-native Konnektivität und eine semantische Schicht, um KI-Tools und -Agents den Zugriff auf reglementierte, kontextreiche Daten in Echtzeit zu ermöglichen.

Beschreibung

• Embed with customer teams to deploy Connect AI, configure MCP servers, connect data sources, and validate agent workflows in production • Build and test AI agent integrations using Connect AI Workspaces and Toolkits with correctly scoped data access • Configure semantic context and governance layers for accurate, permission-aware agent responses across connected sources • Build and ship AI integrations • Write production code in Python, Java, or C# connecting customer systems to Connect AI via MCP, REST, OData, and CData drivers • Implement the integration patterns and security configurations defined with the engagement architect • Contribute to and reuse the FDE team's reference architectures, blueprints, and sample agents • Build and deliver iterative solutions on a multi sprint cadence with weekly customer demos, validation checkpoints, and AI workflow refinement • Own deployment health for your engagements, monitor MCP performance, troubleshoot agent accuracy, and ensure a smooth Customer Success handoff • Triage and resolve production issues with appropriate escalation to the architect or product team • Document product gaps and agent behavior patterns from the field; feed prioritized insights to the Connect AI product team • Capture reusable patterns from your engagements, code snippets, deployment recipes, and troubleshooting notes that compound across the FDE team

🎯 Anforderungen

• 3–6 years in software engineering, data engineering, or technical consulting with hands-on delivery experience • Track record of shipping production code in customer-facing or customer-impacting roles • Has explained technical concepts to non-technical stakeholders and held the room • AI-literate — understands how LLMs consume data, what MCP does, and how agents use tools and context to reason over enterprise sources • Proficient in Python, Java, or C# with experience building API integrations, data pipelines, or connector-based workflows • Comfortable with data plumbing: SQL, REST APIs, ODBC/JDBC, JSON/XML parsing, and multi-source data mapping • Able to configure governed access for AI agents — RBAC, OAuth 2.1, and semantic scoping • Builder mentality — ships working solutions in ambiguous customer environments within tight iteration cycles • Strong communicator who can explain technical AI concepts to non-technical customer stakeholders clearly and confidently • High agency; comfortable as the primary engineering presence on a customer engagement

🏖️ Vorteile

• Medical, Dental, and Vision plans with company-paid insurance premiums • Health Saving Account offering with company contribution to help mitigate increasing health costs • Flexible Savings Account and Dependent Care FSA • Generous 20-day PTO and 11 paid holidays • 401k with 100% company match up to 6% of contribution • A remote-friendly, high-trust culture that empowers collaboration, celebrates curiosity, and encourages innovation • Work closely with your manager to define professional development and learning opportunities that match your career goals