Find work in Canada.

328,218 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Save this search

Added 3 mins ago
Azure Databricks Engineer
Data Elephant
Calgary, AB
Contract
We are seeking an experienced Databricks Engineer to join our delivery team on a contract basis in Calgary to design, build, and optimize modern data platforms on Azure Databricks. In this…
Added 19 mins ago
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
Full-time
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…
Added 35 mins ago
Technology Lead - Databricks Admin
Infosys
ON
6+ years of experience in cloud-based database and platform administration (AWS/Azure).
Added 1 hour ago
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
$154,000 to $193,000 CAD / year
Full-time
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…
Added 2 hours ago
Junior Software Developer (contract position) / Développeur débutant de logiciels (poste contractuel)
CCMTA
Ottawa, ON
Full-time
…guidance and mentoring of our Development Team Lead, alongside a Platform Engineer, a Business Analyst and a Cloud Network and Security Analyst. As your skills grow, you will have the…
Added 3 hours ago
Senior Data Engineer
Style Analytics
Toronto, ON
Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 4 hours ago
Senior Data Engineer
Confluence
Toronto, ON
Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 4 hours ago
AI/ML Engineer
lululemon
Vancouver, BC
Full-time
Build and maintain scalable model training pipelines using distributed training frameworks (PyTorch Distributed, Horovod, Ray Train) and cloud ML platforms (SageMaker, Vertex AI, Azure ML)
Added 6 hours ago
Senior Manager, Software Engineering
Capital One
Toronto, ON
Full-time
Experience with AWS, GCP, Microsoft Azure, or another cloud service
Added 7 hours ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Experience with a cloud platform (Azure, AWS, or GCP) is a plus.
Added 7 hours ago
Lead Data Engineer - AI & Machine Learning
Royal Bank of Canada
Toronto, ON
Full-time
Hands on experience with cloud platforms (OpenShift, AWS S3, or Azure), MLOps tolling for monitoring, and comfort working in Linux-based environments
Added 8 hours ago
Test Automation Engineer
Accenture
Mississauga, ON
Full-time
Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
Added 8 hours ago
Lead Site Reliability Engineer - Database Management
SimCorp
Toronto, ON
Full-time
This role ensures a seamless onboarding experience for our clients on SimCorp’s SaaS platform. You will manage and troubleshoot Azure pipelines, align client requirements with PaaS…
Added 9 hours ago
Test Automation Engineer
Accenture
Mississauga, ON
Full-time
Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
Added 10 hours ago
Lead Data Engineer - AI & Machine Learning
RBC
Toronto, ON
Full-time
Hands on experience with cloud platforms (OpenShift, AWS S3, or Azure), MLOps tolling for monitoring, and comfort working in Linux-based environments
Added 10 hours ago
Senior DevOps Developer
RBC
Bedford, QC
Full-time
Experience with a public cloud technology, i.e. Azure, AWS, GCP
Added 10 hours ago
Senior Software Engineer
Norton Rose Fulbright
Toronto, ON
Full-time
The Senior Software Engineer is responsible for developing, implementing, and supporting enterprise-grade cloud solutions leveraging Microsoft Azure and Microsoft Fabric. This role focuses…
Added 11 hours ago
Lead Infrastructure Architect
Financial Services Regulatory Authority of Ontario (FSRA)
Toronto, ON
Full-time
Certifications: Azure Solutions Architect Expert, Azure Administrator Associate, Azure DevOps Engineer Expert, Terraform Associate. Microsoft 365 Enterprise Administrator Expert, an asset.
Added 12 hours ago
Senior Certificate Automation Engineer
Raise
Toronto, ON
Full-time
Platform & Cloud Experience: Hands-on experience with several of the following:
Added 12 hours ago
Senior Mulesoft Software Engineer
Manulife
Toronto, ON · Waterloo, ON
Full-time
…enterprise integration solutions. As a Senior MuleSoft Software Engineer, you will design, develop, and support scalable, secure, and resilient integration platforms that connect enterprise…
Added 12 hours ago
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
Full-time
Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
Added 12 hours ago
Staff Software Engineer, AI Platform
Redpanda Data
Canada
Full-time
In this role, you will design and develop our ADP product, building on our Bring Your Own Cloud, Serverless, and Redpanda Connect offerings. You will lead system architecture, develop new…
Added 12 hours ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 12 hours ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), including core compute, storage, and networking services
Added 14 hours ago
Databricks Engineer (Contract)
Data Elephant
AB · Calgary, Alberta
Contract
We are seeking an experienced Databricks Engineer to join our delivery team on a contract basis to design, build, and optimize modern data platforms on Azure Databricks. In this strategic…

Evinova

Generative AI Cloud Operations Engineer - Evinova

Mississauga, ON, Canada

Job type: Full-time
Apply by: Nov 27, 2026
Education: High school diploma
Experience: Minimum of 2 years of hands-on experience deploying, operating, and maintaining Generative AI agents, workflows, or applications in production environments.
Posting language: English
Posted: Aug 24, 2026

Apply About employer

Applications open in a new tab.

Original job description

WHY JOIN US?Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise, evidence-led rigor, and deep human insight, we design digital solutions that enable healthcare to work better for everyone.

Operating at the intersection of healthcare, technology, data, and analytics, we are helping unlock the full potential of digital health, transforming how clinical research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving efficiency, improving decision-making, and ultimately delivering better outcomes for patients worldwide.

At Evinova, we are driven by a shared purpose to transform health through data and digital innovation. Our teams collaborate across disciplines to solve complex challenges, continuously learning and evolving in a fast-paced, high-impact environment.

We also recognize the importance of flexibility and balance. Our ways of working support both individual needs and team collaboration. To foster connection and collaboration, employees are expected to work from the office three days per week, creating opportunities for in-person teamwork, innovation, and meaningful connection.

Introduction To Role

The Machine Learning and Artificial Intelligence Operations team (ML/AI Ops) is a newly formed platform team that will spearhead the design, creation, and operational excellence of our LLM-based agent deployments, multi-agent orchestration, and conversational AI systems pipelines to catalyze and accelerate science led innovations.

This team is responsible and accountable for the design, implementation, deployment, health and performance of all LLM-based applications. We manage ML/AI and broader cloud resources, automating operations through infrastructure-as-code and CI/CD pipelines, and ensure best-in-class operations – striving to push even beyond mere compliance with industry standards such as Good Clinical Practices (GCP) and Good Machine Learning Practice (GMLP).

As a Generative AI Cloud Operations Engineer for clinical trial design, planning, and operational optimization on our team, you will lead the development and management of AI operations systems for our trial management and optimization SaaS product. You will collaborate closely with our AI Engineers to transition projects from embryonic research into production-grade AI capabilities, utilizing advanced tools and frameworks to optimize model deployment, governance, and infrastructure performance.

This position requires a deep understanding of cloud-native agentic Generative AI deployment methodologies and technologies, AWS infrastructure, and the unique demands of regulated industries, making it a cornerstone of our success in delivering impactful solutions to the pharmaceutical industry.

Accountabilities

Operational Excellence

Drive the creation of proactive capability and process enhancements that ensures enduring value creation and analytic compounding interest.
Design and implement resilient cloud Genereative AI agent operational capabilities to maximize our system A-bilities (Learnability, Flexibility, Extendibility, Interoperability, Scalability).
Drive precision and systemic cost efficiency, optimized system performance, and risk mitigation with a data-driven strategy, comprehensive analytics, and predictive capabilities at the tree-and-forest level of our Generative AI-based systems, workloads and processes.

ML/AI Cloud Operations and Engineering

Develop and manage GenAI Ops systems for clinical trial design, planning and operational optimization.
Integrate LLM proxies/routers including LiteLLM Proxy/Router or other solutions
Ensure proper RAG pipeline optimization and scaling
Integration of token usage, latency, response quality, and hallucination detection tools at a platform level.
Partner closely with AI Engineers and data scientists to shepherd projects from embryonic research stages into production-grade agentic Generative AI capabilities.
Leverage and teach modern tools, libraries, frameworks and best practices to design, validate, deploy and monitor Generative AI agents in production (including LangChain, LangGraph, Google ADK, Langfuse, DSPy, Arize Phoenix, Pinecone, Weaviate, Splunk, Grafana, Prometheus, Xray, and more)
Enhance system scalability, reliability, and performance through effective infrastructure and process management.
Ensure that any prediction we make is backed by deep exploratory data analysis and evidence, interpretable, explainable, safe, and actionable.
Leverage Vertex AI, Azure Foundry, OpenAI, Anthropic, and other foundation model platforms to provide reliable and stable access to LLMs

Personal Attributes

Customer-obsessed and passionate about building products that solve real-world problems.
Highly organized and detail-oriented, with the ability to manage multiple initiatives and deadlines.
Collaborative and inclusive, fostering a positive team culture where creativity and innovation thrive.
Know when to ask for help and when to help others proactively.

Essential Skills/Experience

High school diploma or GED required.
Minimum of 2 years of hands-on experience deploying, operating, and maintaining Generative AI agents, workflows, or applications in production environments.
Strong understanding of the challenges associated with production GenAI systems, including reliability, scalability, latency, cost optimization, observability, evaluation, and model performance.
Hands-on experience deploying agentic AI solutions using frameworks such as LangChain, LangGraph, LlamaIndex, Google ADK, Strands Agents, or similar.
Strong experience with LLM evaluation and observability, using platforms such as Arize Phoenix, Langfuse, Braintrust, Freeplay, or comparable tools.
Strong software engineering skills in Python and/or TypeScript, with experience building production-quality systems.
Deep expertise with AWS cloud services, including deploying and operating cloud-native AI/ML workloads.
Strong experience with infrastructure as code, including AWS CDK using Python and/or TypeScript.
Experience with containerization and orchestration technologies, including Docker and Kubernetes.
Strong understanding of the data science and machine learning lifecycle, with demonstrated experience moving models and AI capabilities from experimentation through production deployment and ongoing operations.
Experience operationalizing RAG pipelines, LLM applications, or multi-agent systems in production is strongly preferred.
Demonstrated ability to stay current with rapidly evolving Generative AI models, frameworks, tooling, evaluation techniques, and engineering practices.
Proven ability to partner effectively with AI/ML engineers, data scientists, software engineers, product teams, and other cross-functional stakeholders.
Strong written and verbal communication skills, with the ability to clearly document technical solutions, operational processes, and system performance.

SO, WHAT’S NEXT?

To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them.

Where can I find out more?

Explore what we’re building: www.evinova.com
Stay connected and see our impact in action: https://www.linkedin.com/company/evinova/

Apply today to bring smarter, faster clinical trials to life!

Evinova is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. Evinova is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing [email protected].

⠀

Annual base salary for this position ranges from 134,855.20 to 176,997.45.

AstraZeneca is committed to providing fair and equitable compensation opportunities to all colleagues. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The range provided in this posting represents an offer pay range used in a majority of situations. The base pay offered will vary depending on multiple individualized factors, including the candidate's skills and experience, job-related knowledge, and other specific business and organizational needs. In some cases, offers outside the range may also be considered to address unique circumstances.

In addition, our permanent positions offer an annual Variable Pay Bonus/Short Term Incentive opportunity as well as eligibility to participate in our equity-based long-term incentive program (if applicable to role). Benefits offered for permanent roles include a competitive Flex Benefits & Retirement Savings Program, 4 weeks’ paid vacation, and annual Personal Days. Fixed Term Contract/Temporary positions (excluding students) are offered a Contract Benefits Program.

We are using AI as part of the recruitment process.

This advertisement relates to a current vacancy.

Apply About employer

More about this job

Responsibilities

Lead the development and management of AI operations systems for clinical trial design and optimization SaaS products. Transition research projects into production-grade agentic Generative AI capabilities while ensuring scalability, reliability, and cost efficiency.

Requirements

Requires a minimum of 2 years of experience deploying Generative AI agents in production and deep expertise in AWS and Python/TypeScript. Candidates must be proficient with LLM orchestration frameworks and observability tools within regulated industry environments.

Skills

Generative AI
AWS
Python
TypeScript
LangChain
LangGraph
Kubernetes
Docker
Infrastructure as Code
RAG Pipelines
LLM Evaluation
Cloud Operations
MLOps
Vertex AI
Azure Foundry
Prompt Engineering

Benefits

Paid Vacation
Personal Days
Variable Pay Bonus
Equity-based Long-term Incentive Program

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
AWS CDK
LangChain
LangGraph
LlamaIndex
Arize Phoenix
Langfuse
Pinecone
Weaviate
Splunk
Grafana
Prometheus
RAG
Multi-agent Orchestration
MLOps
Cloud Native
Pharmaceuticals
Clinical Trials
GCP
GMLP
Vertex AI
Azure Foundry
OpenAI
Anthropic
Docker
Kubernetes
Python
TypeScript
SaaS

Report this job