Principal AI Engineer

PointClickCare

full-time

Posted on: 8/27/2025

Location: Utah • 🇺🇸 United States

✨ AI Apply

💰 $167,400 - $204,600 per year

Lead

CloudPythonSaltStack

About the role

The Principal AI Engineer leads the architecture and delivery of agentic AI systems across multiple products, defining technical standards and reusable patterns for reasoning, tool use, and coordinated action.
Partner with cross-functional teams to transition prototypes into secure, observable production solutions and establish playbooks, evaluation frameworks, and platform components to accelerate adoption.
Drive enterprise-wide AI enablement by defining strategy, evangelizing adoption, and delivering measurable business impact.
Identify and prioritize high-value AI use cases, build scalable platforms, and create playbooks and patterns to accelerate implementation.
Set the technical vision and reference architecture for agentic AI across products—defining org‑wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.
Build and govern reusable platform components—model broker & multi‑model routing, orchestration services, evaluation harnesses, prompt/versioning stores, and telemetry—to accelerate adoption across teams.
Drive cross‑functional roadmaps and integration standards with Product, Engineering, Architecture, Advanced Tech, and SaaS Ops—setting API/versioning contracts, optimizing LLM/agent cost‑performance, and mentoring engineers to raise the bar.

Proven leadership shipping agentic AI at scale across multiple products, setting organization‑wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.
Healthcare & regulatory context: familiarity with HIPAA, ONC‑aligned practices, and clinical workflows for safe deployment in regulated environments.
Master’s degree or higher in Artificial Intelligence.
Evaluation leadership: establishes offline/online evaluation methodologies for agent behavior and safety, with dashboards tied to business outcomes.
Advanced Python expertise for production systems (testing, packaging, performance profiling) and deep experience extending agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI, and/or LlamaIndex.
Model serving and cost/perf optimization: experience with model broker patterns, multi‑model routing, and serving stacks.
RAG/agent data pipeline expertise: document preprocessing (OCR/NER), chunking strategies, embeddings, vector stores, and data quality/versioning—with evaluation harnesses for quality, cost, and latency.
Security & Responsible AI by design: hands‑on implementation of RBAC, audit logging, privacy controls, and alignment with NIST AI RMF and ONC FAVES requirements.