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About the Role
This is a founding, zero-to-one role on the Applied AI team at a venture-backed vertical SaaS platform company, working directly with co-founders to deploy AI solutions across a growing portfolio of mission-critical enterprise software businesses. You'll own the full deployment lifecycle end-to-end — from discovery through adoption — and help define what AI looks like across entire industries. As an early hire, you'll have outsized influence over how this function is built and scales.
What You'll Do
Run discovery with customers, translate business problems into product specs, and build AI workflows and solutions from the ground up.
Own full deployment lifecycles from initial build through customer adoption and ongoing post-deployment maintenance.
Develop shared data models and workflows into productized, platform-style solutions across industry verticals.
Work directly with co-founders and the Head of AI to shape and execute the company's broader AI strategy.
Help hire and structure the forward deployed engineering team as the function scales.
What We're Looking For
3–5 years of experience in a forward deployed or technical deployment engineering role at an enterprise AI or data platform company.
Demonstrated ownership of at least one full technical deployment end-to-end, from initial build through customer adoption.
Experience with B2B enterprise software deployments (not B2C only).
Technical polyglot with hands-on experience across full-stack engineering, system architecture, data pipelines, and LLM application patterns.
Strong computer science fundamentals; BS in Computer Science, Engineering, or equivalent technical field.
Comfortable with approximately 50% travel for on-site customer engagements lasting weeks at a time.
Background as a founder or early employee at a well-regarded startup is a plus.
Compensation & Benefits
Base salary range: $200,000 – $300,000 USD annually. Visa sponsorship is not available for this role.
Location
On-site, 5 days per week. Primary location is Chicago, IL, with New York also considered. Approximately 50% travel expected for customer deployments.
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