Technical Delivery

About the Role

The Technical Delivery team is crucial for integrating Hebbia into customer environments, translating their needs into AI-powered workflows. This role involves building, configuring, customizing, and deploying solutions that ensure customers quickly derive value. Operating at the intersection of product, engineering, and go-to-market, the Technical Delivery team works in two-person pods with an AI Strategist. While the AI Strategist handles domain expertise and customer relationships, the Technical Delivery specialist manages all technical aspects, including environment setup, integrations, AI architecture, and solution builds. This position offers significant ownership from day one, allowing the individual to shape solutions and witness the direct impact of their work within leading financial institutions. It's ideal for a technically proficient individual eager for early ownership, demonstrating intellectual curiosity and hands-on ability to solve problems in a dynamic environment without constant explicit instructions. The role is based in Hebbia's New York City office in SoHo.

Responsibilities

• Own the technical delivery of Hebbia deployments end-to-end: from environment setup and SSO configuration through integration, workflow build, and go-live
• Scope and execute integration projects, including identity/auth setup (SSO, SAML, OAuth), data connectivity, and API-based system integrations
• Design and build customer-specific AI workflows, agents, matrices, and templates that reflect how real teams operate with support from AI Strategists and CoE
• Lead prompt engineering, process engineering, and context engineering to optimize AI outputs for specific client use cases
• Architect AI patchwork solutions that connect Hebbia's capabilities to customer data environments and adjacent tools
• Partner closely with your paired AI Strategist to translate business requirements into working technical systems
• Surface patterns, edge cases, and product feedback to Engineering and Product — you are a first-line signal for what customers actually encounter
• Build repeatable playbooks, deployment templates, and reusable components that improve speed and quality across future deployments
• Document technical configurations, integration patterns, and best practices to grow the team's collective knowledge base

Requirements

• 2-5 years of experience in a technical implementation, solutions engineering, or engineering-adjacent role — you've shipped things in professional settings, not just in side projects
• You have built and deployed LLM-powered workflows in a professional context — prompt engineering, agent frameworks, LLM orchestration, or AI automation are familiar territory
• You've shipped real integrations: you're comfortable with REST APIs, authentication patterns (SSO/SAML/OAuth), and connecting systems that weren't designed to talk to each other
• Strong command of structured data, configuration, and the technical building blocks of modern software stacks
• You can take a loosely defined business problem and produce a working, production-quality solution with limited hand-holding
• Clear, confident communicator — you can explain a technical architecture to a client's IT team in the morning and walk their end users through a workflow in the afternoon
• High ownership orientation — you treat your accounts like they're yours, follow through completely, and don't drop threads
• Thrives in ambiguity and moves with urgency in a fast-moving, high-expectations environment