Principal AI Engineer
Posted Updated 2
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Summary
Designs and builds scalable, secure AI/ML platforms for healthcare, focusing on agentic systems, RAG pipelines, and multi-modal AI applications with guardrails and observability. Leads architectural standards, cloud-native infrastructure (Azure/AWS), and AI governance for enterprise-grade solutions.
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Team Summary:
The Agentic Platform team operates at the leading edge of AI technology. We continuously evaluate emerging services, frameworks, and capabilities — identifying which ones PointClickCare should adopt to unlock AI-powered products that serve our customers across senior care and beyond. The team owns the agentic platform end to end. We identify and build scalable platform capabilities and codify playbooks and patterns that accelerate implementation across the organization. Through close collaboration with product, engineering, and operations teams, we transform promising prototypes into production-ready solutions. We also invest deeply in talent development, equipping teams across PointClickCare with the skills and tools to embed AI into PointClickCare’s products.
Job Summary:
The Principal AI Engineer will design and architect scalable, secure, and enterprise-grade AI/ML platforms and solutions that enable product teams to rapidly build and deploy AI applications. Working at the intersection of product strategy and technical implementation, the Principal AI Engineer will define architectural patterns, establish technical standards, and guide engineering teams in building cloud-native AI infrastructure that aligns with organizational goals. The Principal AI Engineer will create reference architectures, evaluate emerging AI technologies, and ensure alignment between AI platform capabilities and product roadmap requirements.
Key responsibilities:
- Design and document enterprise AI platform architectures including reference implementations for agentic systems, RAG pipelines, and multi-modal AI applications with integrated guardrails, observability, and security patterns
- Define and maintain architectural standards, design patterns, and best practices for GenAI infrastructure including model serving, prompt management, vector storage, evaluation frameworks, and LLMOps pipelines.
- Lead technical evaluations and vendor assessments for AI infrastructure components (model gateways, vector databases, observability tools) and provide architectural recommendations aligned with organizational requirements.
- Collaborate with product, engineering, and platform teams to translate business requirements into scalable AI architectural solutions, ensuring consistency across multiple product implementations.
- Establish architectural governance for AI/ML workloads including security controls, compliance frameworks, cost optimization strategies, and multi-cloud deployment patterns (Azure, AWS).
Preferred Qualifications:
- Experience with Azure OpenAI Service, Azure AI Studio, and Azure Machine Learning platforms in healthcare or regulated industries
- Familiarity with observability frameworks for AI systems (OpenTelemetry, MLFlow, Arize, LangSmith) and production monitoring strategies
- Understanding of healthcare compliance requirements (HIPAA, PHIPA) and security frameworks for AI applications
- Experience with Infrastructure as Code (Terraform, Bicep) and GitOps practices for AI platform automation
Minimum Qualifications:
- 8+ years of experience in cloud architecture and platform engineering with AWS and/or Azure, with at least 3+ years focused on AI/ML infrastructure and GenAI solutions
- Proven track record designing and implementing enterprise-scale AI/ML platforms supporting multiple product teams and use cases
- Deep expertise in cloud-native architectures including microservices, event-driven systems, serverless patterns, and container orchestration (Kubernetes)
- Strong understanding of GenAI architectural patterns including RAG, agentic frameworks (LangGraph, CrewAI), prompt engineering, and LLM evaluation methodologies
- Experience with AI infrastructure components such as vector databases (Pinecone, Weaviate, pgvector), model serving platforms (vLLM, SGLang, Azure AI), and prompt management systems
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PointClickCare Benefits & Perks:
Benefits starting from Day 1!
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
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
Skills
- Agentic AI
- AI
- Automation
- AWS
- Azure
- Bicep
- Cloud
- Cloud Native
- CrewAI
- Design Patterns
- Event Driven Architecture
- Generative AI
- GitOps
- Hipaa
- Infrastructure as Code
- Kubernetes
- LangGraph
- LangSmith
- LLM
- LLMOps
- Machine Learning
- Microservices
- MLflow
- Observability
- OpenAI
- OpenTelemetry
- pgvector
- Pinecone
- Prompt Engineering
- RAG
- Serverless
- Terraform
- Vector Databases
- vLLM
- Weaviate
As published by lever · 11 questions
Basics
Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, Portfolio URL, Other website, Gender Identity, Do you identify as a member of the LGBTQ+ Community?, Race/Ethnicity, Veteran Status, Disability
Short answers (1)
- How did you hear about us?
Pick from a list (10)
- Are you legally authorized to work in Canada for our company?
- Would you require future sponsorship in order to work for our company in Canada?
- Have you led the design and production deployment of agentic AI systems used by external customers or enterprise users at scale?
- How many years of hands-on experience do you have building and deploying production AI/GenAI solutions? This is a Principal-level role and not intended for candidates whose experience is primarily research or proof-of-concept work
- Have you personally built and deployed solutions using at least two of the following Microsoft AI platforms?
- Do you have hands-on production development experience with Python and either Java or another enterprise-scale backend language?
- Have you designed and implemented production Retrieval-Augmented Generation (RAG) solutions including embeddings, vector databases, chunking strategies, and evaluation frameworks?
- Have you built production systems utilizing one or more of the following agent frameworks?
- Have you established technical standards, architecture patterns, or best practices that were adopted by multiple engineering teams?
- Have you built or operated systems that route requests across multiple AI models (e.g., GPT, Claude, Gemini, open-source models) based on cost, latency, or quality requirements?