Forward Deployed Engineer

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Collaborate with customer teams to implement Connect AI, set up MCP servers, integrate data sources, and ensure agent workflows are validated in a production environment.

• Develop and evaluate AI agent integrations utilizing Connect AI Workspaces and Toolkits with appropriately defined data access.

• Configure semantic context and governance layers to guarantee precise, permission-aware responses from agents across interconnected sources.

• Create and deploy AI integrations.

• Write production-level code in Python, Java, or C# that links customer systems to Connect AI through MCP, REST, OData, and CData drivers.

• Execute the integration patterns and security settings established with the engagement architect.

• Contribute to and leverage the FDE team's reference architectures, blueprints, and sample agents.

• Develop and deliver iterative solutions on a multi-sprint cycle, featuring weekly customer demonstrations, validation checkpoints, and refinement of AI workflows.

• Manage deployment health for your engagements, monitor MCP performance, troubleshoot agent accuracy, and ensure a seamless transition to Customer Success.

• Address and resolve production issues, escalating to the architect or product team as necessary.

• Document product deficiencies and agent behavior patterns observed in the field, providing prioritized insights to the Connect AI product team.

• Capture reusable patterns from your engagements, including code snippets, deployment recipes, and troubleshooting notes that enhance the collective knowledge of the FDE team.

⛳️ Requirements

• 3–6 years of experience in software engineering, data engineering, or technical consulting, with practical delivery experience.

• Proven track record of delivering production code in roles that impact or involve customer interactions.

• Experience in communicating technical concepts to non-technical stakeholders effectively.

• AI-literate — possesses an understanding of how LLMs process data, the functionality of MCP, and how agents utilize tools and context for reasoning over enterprise data sources.

• Proficient in Python, Java, or C# with experience in developing API integrations, data pipelines, or connector-based workflows.

• Comfortable with data management tasks including SQL, REST APIs, ODBC/JDBC, JSON/XML parsing, and multi-source data mapping.

• Capable of configuring governed access for AI agents, including RBAC, OAuth 2.1, and semantic scoping.

• Possesses a builder mentality, delivering effective solutions in ambiguous customer environments under tight iteration cycles.

• Strong communicator able to clearly and confidently convey technical AI concepts to non-technical customer stakeholders.

• High agency; comfortable serving as the primary engineering representative on customer engagements.

🏝️ Benefits

• Medical, Dental, and Vision plans with company-covered insurance premiums.

• Health Savings Account with company contributions to help manage rising healthcare costs.

• Flexible Savings Account and Dependent Care FSA available.

• Generous 20-day paid time off policy along with 11 paid holidays.

• 401k plan with a 100% company match up to 6% of contributions.

• A remote-friendly, high-trust culture that fosters collaboration, encourages curiosity, and promotes innovation.

• Collaborate closely with your manager to identify professional development and learning opportunities aligned with your career aspirations.