Related skills
snowflake machine learning dbt observability llm📋 Description
- Own agentic AI architecture, deployment, and reliability.
- Lead clinical ops agents for scheduling, intake, insurance, triage, care coordination.
- Lead clinician copilots for docs, risk, and plan support; integrated with EHR.
- Define agentic substrate: eval, observability, guardrails, prompt/versioning, PHI-safe logging.
- Own model strategy across frontier models, fine-tunes, and ML; communicate with leadership.
- Partner with Product, Clinical, and Data teams to identify high-leverage AI opportunities.
🎯 Requirements
- 10+ years of software engineering, with recent LLM/ML in production.
- Hands-on agentic systems design: tools, planning, multi-agent orchestration.
- End-to-end ownership: eval infra, observability, on-call, compliance.
- Strong cross-team communication to executives and engineers.
- BS/MS/PhD in CS/ML/Engineering/Math or equivalent.
- Hybrid NYC work schedule; 75-minute commute.
🎁 Benefits
- Comprehensive benefits for all full-time employees.
- AI-native operating model funded by executive leadership.
- Modern data foundation with Snowflake, dbt, pgvector.
- Total compensation may include stock options and other benefits.
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