Genzeon, an AI and automation company with deep engineering and data expertise, dedicated to serving the healthcare and retail industries. Our platform solutions – including HIP One, CompliancePro Solutions, and Patient Engagement Solutions – empower organizations to scale innovation and transform outcomes.

Genzeon is a global community of innovators and problem-solvers, with a culture built on inclusion, flexibility, and purpose-driven work. With four global delivery centers, we support providers, payers, Healthtech, and retail organizations worldwide.

Genzeon has an exciting opening for
Native AI Product Builder | Healthcare AI Platform
to join our dynamic team.

Native AI Product Builder | Healthcare AI Platform

Genzeon Corporation — Healthcare Division

Exton, PA / Remote | 0–3 years | Full-time

We use AI to process Medicare prior authorization documents — vision models, OCR, classification, RAG, clinical reasoning. 150K documents/year.

You'll own the product experience layer of that pipeline.

You'll design what happens when AI is confident, when it's uncertain, and when it's wrong.

What you'll do:

Own the product experience across a multi-model AI pipeline (classification → extraction → clinical QA → decision).
Design confidence thresholds, human review workflows, and escalation logic.
Work directly with ML engineers on model selection, prompt design, and architecture decisions.
Build feedback loops between clinical reviewers and AI performance.
Translate CMS/Medicare regulatory requirements into AI system behaviors.

What you need:

At least one AI project you've built that other people used (we'll ask what broke)
Understanding that LLMs are probabilistic and what that means for product design
Hands-on experience with one or more of: RAG, document AI, vision-language models, multi-agent systems
Ability to read code, navigate a repo, and have a technical conversation with engineers
Systems thinking — you care about what happens in the pipeline, not just the UI

Strong signals:

GitHub with AI projects — agents, RAG pipelines, fine-tuned models
Open-source contributions (LangChain, LlamaIndex, Hugging Face, llama.cpp)
AI hackathon participation
Familiarity with healthcare data (FHIR, X12, HL7)
Experience with on-prem GPU deployment, not just API calls

We don't require:

An MBA
Prior "Product Manager" title
Enterprise software experience