- 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).
- 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
- 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
Skills Required
- 8+ years of experience in cloud architecture and platform engineering with AWS and/or Azure
- At least 3+ years focused on AI/ML infrastructure and generative AI solutions
- Experience 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 Kubernetes
- Strong understanding of generative AI patterns, including RAG, agentic frameworks, prompt engineering, and LLM evaluation methodologies
- Experience with vector databases such as Pinecone, Weaviate, or pgvector
- Experience with model-serving platforms such as vLLM, SGLang, or Azure AI
- Experience with prompt management systems
- Experience with Azure OpenAI Service, Azure AI Studio, and Azure Machine Learning in healthcare or regulated industries
- Familiarity with AI observability frameworks including OpenTelemetry, MLflow, Arize, or LangSmith
- Understanding of healthcare compliance requirements including HIPAA and PHIPA
- Understanding of security frameworks for AI applications
- Experience with Infrastructure as Code using Terraform or Bicep
- Experience with GitOps practices for AI platform automation
PointClickCare Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PointClickCare and has not been reviewed or approved by PointClickCare.
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Healthcare Strength — Health and dental coverage appear robust, with wellness and assistance programs reinforcing core medical benefits. Coverage quality stands out relative to other benefit elements.
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Leave & Time Off Breadth — PTO and paid holidays are characterized as generous, and flexible work-from-home options are widely available. Occasional extras like summer half‑day Fridays further expand time-off flexibility.
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Flexible Benefits — A customizable mix is evident through remote/hybrid arrangements, day-one eligibility, and a lifestyle or personal spending account. Benefits such as wellness credits and support resources can be tailored to individual needs.
PointClickCare Insights
What We Do
PointClickCare is the market leader driving the transformation of healthcare vulnerable and complex populations through a broad, connected care network powered by deep insights with a commitment to value, outcomes and innovation. We connect post-acute and acute care settings, people and systems like no other company. Our steadfast commitment to our culture and to providing growth opportunities to our employees is evidenced by recent recognition of PointClickCare as one of Canada’s best-managed companies and most admired corporate cultures.
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