Principal AI Engineer
Core
Define technical strategy and architecture for AI-enabled products that transform clinical documents into actionable data using LLMs.
Role type
Principal AI Applied Engineer (Strategy & Hands-on IC)
Builds
Enterprise AI platforms, LLM orchestration systems, retrieval-augmented generation (RAG) pipelines, and agentic workflows for healthcare.
Domain
Healthcare / Large Language Models / AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Large language model (LLM) design, retrieval-augmented generation (RAG), agentic systems, orchestration frameworks, cloud-native architecture, Python, TypeScript/JavaScript, distributed systems design, AI governance, model lifecycle management
Preferred skills
AI platform strategy, vendor ecosystem management, Model Context Protocol (MCP), autonomous systems, regulated industry experience (healthcare/finance), AI-assisted development practices
Technologies
Python, TypeScript, JavaScript, LLMs, RAG, MCP
Responsibilities
Define long-term technical strategy and reference architecture for AI products; Establish architectural patterns for LLM orchestration and agentic workflows; Lead organization-wide technical decisions on model strategy and vendor selection; Design scalable architectures balancing reliability, security, and cost; Build prototypes and reference implementations to de-risk emerging technologies; Mentor Lead and Senior Engineers on architecture and design.
Seniority
Principal, highest-level IC with strategic influence and hands-on execution