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Technical Delivery

120k – 200kNew York, NYSolutions ArchitectureOnsite2+ YOE
Summary

Own technical delivery of AI deployments at Hebbia: configure environments, build integrations and LLM workflows, and take customers from contract to live production in leading financial institutions.

About the role

What You’ll Do

  • 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

Who You Are

  • 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

Compensation

  • Salary range: $120,000 - $200,000 + competitive equity
  • Unlimited PTO
  • Medical + Dental + Vision + 401K + Wellness Benefits
  • Catered lunch daily + DoorDash dinner credit
  • 3 months non-birthing parent, 4 months for birthing parent parental leave
  • $15k lifetime fertility benefit
  • Competitive new hire equity grant
Skills
LLM workflowsPrompt engineeringAgent frameworksLLM orchestrationAI automationREST APIsSSOSAMLOAuthIntegrations
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