Translucent

You will sit at the intersection of customer healthcare finance problems and the AI that solves them. Analytics Engineers get the data in accurately and encode customer business logic. This role builds on top of that: the context layer agents operate on, tailored agents and predictive models for each customer, and the iteration that turns outputs into decisions and behavioral change. You will work in Python with the company's agent harnesses and eval tooling, partnered with the value team and directly with customers.

You'll feel at home here if you were called a data scientist three to five years ago and have been shipping applied AI since.

What You'll Do:

• Build tailored agents. Stand up customer-specific agents and ML models on existing agent infrastructure.
• Own the context layer. Maintain the customer context agents operate on, including platform-level agents.
• Validate outputs. Use harnesses and evals to keep agents and models accurate enough to earn trust.
• Drive decisions. Iterate on insights and presentation with the value team until customers act on them.
• Work with customers. Scope problems with end users and present solutions to finance and ops leaders.