Forward Deployed Engineer

🕒 il y a 26 jours

🗣️🇺🇸🇬🇧 Anglais requis

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CData Software

201 - 500 employés

☁️ SaaS

🏢 Entreprise

🔌 API

💰 €350 000 000 Private equity en 2024-07

SaaS • Enterprise • API

CData Software est un fournisseur de solutions logicielles d'intégration et de connectivité de données de niveau entreprise, offrant un accès en direct, contextuel et sécurisé à des centaines de sources de données sur site et dans le cloud. Sa plateforme comprend des pilotes basés sur des normes (ODBC, JDBC, ADO. NET), des connecteurs de langages (Python, Java), des capacités de serveur API, des outils ETL/ELT et de synchronisation en temps réel, ainsi que des connecteurs intégrés pour les éditeurs de logiciels. CData propose également une connectivité native à l'IA et une couche sémantique permettant aux outils et agents d'IA d'accéder à des données gouvernées et riches en contexte en temps réel.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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