Sr. Director | Engineering, ML

United StatesRemote

Responsibilities

Lead and grow the AI/ML Engineering team, while coordinating execution across contributors including data scientists on collaborative projects.
Design, deliver and operate the core AI/ML platform: agent frameworks, evaluation harnesses, labeling systems, document processing systems, semantic search, knowledge bases, model hosting, and more.
Run AI/ML systems at scale in production with reliability, observability, performance, and incident response. Build a culture of operational excellence.
Create processes to ensure proof-of-concept code from Data Science can be designed as production-grade services.
Run tight, streamlined stand-ups across engineering and data science. Do capacity planning for driving predictability and velocity around delivery.

Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise.
We're seeking a hands-on, technically deep Sr/Director of Engineering to lead our ML Engineering team! You will manage and grow a team of engineers who build and own the core AI/ML platform for the company, and running it at massive scale.
You will also serve as a key thought partner to our Chief AI Officer, bridging the gap between data science proof-of-concepts and scalable, production-grade services.
The ideal candidate blends AI/ML engineering depth with applied data science fluency.
You understand what it takes to productize AI/ML capabilities — serving, observability, reliability, and scale — and you're fluent enough in data science concepts to anticipate platform needs and influence upstream design decisions.
You have opinions on LLM and agent architecture, not just executing someone else's roadmap.
Partner with the Chief AI Officer and Product Manager to build forward-looking product strategy. Drive structured thinking in ambiguity.
Provide leadership in ensuring the cross-functional team can utilize AI technologies to accelerate team excellence in coding, PR reviews, testing, observability and incident response.
Keep up with the latest developments in LLM/agent advances and modern AI/ML infrastructure.