Forward Deployed Engineer
Posted 1hrs ago
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Job Description
Forward Deployed Engineer delivering CData's Connect AI platform solutions in customer environments. Embedding with teams to build production-grade integrations and ensure successful deployments.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- 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

















