Principal AI Engineer

Summary

Join PointClickCare, a leading health tech company, and become a Principal AI Engineer. Lead the architecture and delivery of agentic AI systems across multiple products, defining technical standards and reusable patterns. Partner with cross-functional teams to transition prototypes into production solutions. Establish playbooks, evaluation frameworks, and platform components to accelerate adoption. Mentor teams and ensure alignment with Responsible AI, security, and regulatory requirements. The role involves setting the technical vision, building reusable platform components, driving cross-functional roadmaps, and ensuring alignment with Responsible AI principles. PointClickCare offers a collaborative environment focused on innovation and impact, with opportunities for professional development and growth.

Requirements

• 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 in partnership with Platform PM, Regulatory, and Security

Responsibilities

• 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
• 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

Benefits

• Retirement Plan Matching
• Flexible Paid Time Off
• Wellness Support Programs and Resources
• Parental & Caregiver Leaves
• Fertility & Adoption Support
• Continuous Development Support Program
• Employee Assistance Program
• Allyship and Inclusion Communities