The Principal AI Platform Engineer will design and maintain infrastructure for GenAI products, ensuring seamless integration and high performance. Responsibilities include implementing security controls, observability solutions, and optimizing scalability.
The Team
This team will serve as the product owner for GenAI capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support generative AI solutions. This centralized team with deep specialization, closely integrated with key horizontal partners to ensure delivery of safe, scalable and high-impact AI Products
Job summary
The Principal AI Platform Engineer will focus on building the infrastructure that connects AI systems with existing products and will enable seamless delivery of AI-generated insights into agent workflows.
Key responsibilities.
- 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, cost efficiency for production workloads.
Qualifications & Skills
- Extensive experience building and maintain AI platform infrastructure, Kubernetes, and container security.
- Demonstrated expertise in observability, and monitoring frameworks, with a focus on real-time performance (i.e: experience with OpenTelemetry, MLFlow).
- Experience with AI infrastructure components such as vector databases, prompt/versioning stores, and AI IDEs.
Preferred experience
- Familiarity with vLLM, SGLang or similar framework to host LLM inference workloads.
- Experience with CI/CD pipelines and automation for AI model deployment and platform operations
- Strong knowledge of authentication and authorization frameworks integrated into AI platforms.
#LI-AV1
#LI-remote
Top Skills
Ai Ides
Ci/Cd
Container Security
Kubernetes
Mlflow
Opentelemetry
Vector Databases
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
As a Technical Writer II, you'll create product documentation, collaborating with teams to ensure clarity and comprehensibility for customers. You'll manage projects independently, develop product knowledge, and tailor content for users.
Top Skills:
DitaGitOxygen Xml EditorXML
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Client Director will lead executive relationships and sales strategies for major financial services clients, ensuring alignment with revenue targets and client needs.
Top Skills:
AICustomer ServiceIt Operations ManagementIt Service ManagementSecurity Operations
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Data Center Operations Analyst will oversee infrastructure operations, implement processes, manage vendors, support hardware, and document standards.
Top Skills:
AIItilNetworkingServer Architecture
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal


