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.
120k – 200k/yr
On-site2+ YOESolutions Architecture
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
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