Talantix.io
PointClickCare•10.03.26
AI SCORE 8.5

Principal AI Platform Engineer - Remote

$169K–$188K/year
RemoteAI Infrastructure
AI Infrastructure•Kubernetes•Container Security•Observability•Monitoring•OpenTelemetry•MLflow•Vector Databases•CI/CD

About the Role

We are looking for a Principal AI Platform Engineer to join our dynamic team at PointClickCare. This remote position offers an exciting opportunity to shape the future of generative AI solutions. You will be at the forefront of building the infrastructure that connects AI systems with existing products, enabling seamless delivery of AI-generated insights into agent workflows.

What You'll Do

  • Design, build, and maintain the core infrastructure layer supporting GenAI products, including model gateways, prompt/versioning stores, vector databases, and LLM evaluation tools.
  • Implement secure access controls and authentication mechanisms integrated by default into the AI platform components.
  • Develop and manage observability, monitoring, and logging solutions for GenAI workloads and infrastructure.
  • Collaborate closely with product and engineering teams to integrate GenAI infrastructure with agent frameworks and downstream applications.
  • Optimize infrastructure for scalability, high availability, and cost efficiency for production workloads.

Requirements

  • Extensive experience building and maintaining AI platform infrastructure, Kubernetes, and container security.
  • Demonstrated expertise in observability and monitoring frameworks, with a focus on real-time performance (e.g., experience with OpenTelemetry, MLFlow).
  • Experience with AI infrastructure components such as vector databases, prompt/versioning stores, and AI IDEs.
  • Strong knowledge of authentication and authorization frameworks integrated into AI platforms.
  • Familiarity with vLLM, SGLang or similar frameworks to host LLM inference workloads.
  • Experience with CI/CD pipelines and automation for AI model deployment and platform operations.

Nice to Have

  • Experience with CI/CD pipelines and automation for AI model deployment and platform operations.

What We Offer

  • Competitive base salary ranging from CAD $169,000 to $188,000.
  • Performance bonuses and comprehensive benefits package.
  • Flexible remote work environment.
  • Opportunities for professional growth and development.
  • Collaborative team culture focused on innovation.
Why This Job8.5 of 10

This remote Principal AI Platform Engineer role at PointClickCare offers a competitive salary and the chance to lead innovative AI solutions in a collaborative environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Deep expertise in AI infrastructure with hands-on experience in deploying and managing Kubernetes clusters for scalable AI applications, particularly in a cloud environment.

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Strong proficiency in container security practices and tools, ensuring secure deployments of AI models and data pipelines across various environments.

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A proactive mindset towards observability and monitoring using OpenTelemetry and MLflow, enabling the continuous improvement of AI model performance and system reliability.

Learning Resources

→Kubernetes for AI Workloadscourse
→OpenTelemetry Documentationguide
→Container Security Best Practicesarticle

Career Path

Principal AI Platform Engineer - Remote(Now)→Director of AI Infrastructure(2-4 years)→VP of AI Solutions(5-7 years)

Market Overview

Market Size 2024
$20B
Annual Growth
25.2%
AI Adoption
75%
Investment in AI Infrastructure
+45%
Labour Demand for AI Engineers
+30%
Avg Salary for Principal AI Engineers
$180K

Skills & Requirements

Required
AI InfrastructureKubernetesContainer Security
Growing in Demand
MLOpsCloud-Native DevelopmentData Engineering
Declining
HadoopTraditional Data Warehousing

Domain Trends

Rise of MLOps
The MLOps market is expected to grow by 36.5% annually, as organizations seek to streamline AI model deployment and monitoring.
Shift to Serverless Architectures
Over 50% of companies are adopting serverless architectures for AI workloads, driven by the need for scalable and cost-effective solutions.
Increasing Focus on AI Ethics and Governance
Around 68% of organizations are implementing AI governance frameworks to address ethical concerns, reflecting a growing demand for compliance and transparency.

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