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Added 2 hours ago
Marketing Associate Director, CF
Vertex Inc.
Toronto, ON
Full-time
Vertex is seeking an experienced marketing professional to join our Canadian team to lead our Cystic Fibrosis (CF) Marketing team. The Associate Marketing Director, CF Marketing will be a…
Added 3 hours ago
Generative AI Cloud Operations Engineer - Evinova
Evinova
Mississauga, ON
Full-time
Leverage Vertex AI, Azure Foundry, OpenAI, Anthropic, and other foundation model platforms to provide reliable and stable access to LLMs
Added 3 hours ago
Manager, Customer Care - Support Team
Jobgether
Canada
Full-time
Hands-on experience with systems such as Genesys, CIS, and Vertex.
Added 3 hours ago
Sr. AI Engineer
Arkhya Tech. Inc.
Canada
Full-time
Sr. AI Engineer – Vertex AI & GEAP Agent Builder with CI/CD experience (Not ML Engineers). More like Solution engineers.
Added 3 hours ago
Manager, Customer Care - Support Team
Jobgether
Canada
Full-time
Hands-on experience with systems such as Genesys, CIS, and Vertex.
Added 17 hours ago
Generative AI Cloud Operations Engineer - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
Leverage Vertex AI, Azure Foundry, OpenAI, Anthropic, and other foundation model platforms to provide reliable and stable access to LLMs
Added 2 days ago
Sr. Data Scientist
Charger Logistics Inc
Brampton, ON
Full-time
Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model Registry, supporting model training, deployment, monitoring, and drift detection.
Added 2 days ago
Applied AI Engineer
Hygiena
Mississauga, ON
Full-time
…Enterprise, tool use, extended thinking, Claude Code; Gemini API, Vertex AI Agent Builder, grounding; OpenAI Assistants/Responses APIs, Agents…
Added 3 days ago
Sr. Data Scientist
Charger Logistics Inc.
Brampton, ON
Full-time
Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model Registry, supporting model training, deployment, monitoring, and drift detection.
Added 3 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 3 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 3 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 3 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 3 days ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 4 days ago
Senior Technical Artist (Mobile Game)
IGG.com Canada
Vancouver, BC
Full-time
…Games. Founded in 2006, IGG has grown into a leading global game developer and publisher, with studios and operations across China, the Philippines, Singapore, the United States, and…
Added 4 days ago
Intermediate Technical Artist (Mobile Game)
IGG.com Canada
Vancouver, BC
Full-time
…Games. Founded in 2006, IGG has grown into a leading global game developer and publisher, with studios and operations across China, the Philippines, Singapore, the United States, and…
Added 4 days ago
Solutions Architect #26-23652
US Tech Solutions
Toronto, ON
$95 to $100 CAD / hour
Contract
AI platform architecture across cloud/hybrid: Azure OpenAI, Azure AI Foundry, Google Vertex AI/Gemini, model routing & lifecycle, AI observability, evaluation, responsible-AI guardrails.
Added 4 days ago
AI Engineer
Yeshnex IT Solutions
Canada
Contract
…Python/FastAPI backends, React/TypeScript frontends, and Google Cloud Vertex AI, while adhering to development best practices and quality standards. Takes full end-to-end ownership of…
Added 4 days ago
Credit Risk Manager
PwC
Toronto, ON
Full-time
Experience and exposure to AI/ML modeling, including theoretical approach and related technology and platforms (such as Vertex AI, Azure AI, etc. ) would be an asset
Added 4 days ago
Machine Learning Scientist
DarkVision
North Vancouver, BC
Full-time
Hands-on experience with ML lifecycle management tools like MLFlow, Amazon SageMaker, GPC Vertex AI, etc.
Added 5 days ago
Sr. Machine Learning Engineer
Insight
Remote, Canada
Full-time · Remote
Migrate legacy ML workloads onto GEAP (formerly known as Vertex AI). Translate existing models from platforms such as Dataiku or SageMaker into KFP-based pipeline templates on GEAP.
Added 4 days ago
IT - Solutions Architect V- Full Stack Solution Architect
Robertson & Company Ltd.
Toronto, ON
Contract
Added 4 days ago
Full Stack Architect – AI Solutions
SPECTRAFORCE
Toronto, ON
$90 CAD / hour
Contract
…environments, including Azure OpenAI, Azure AI Foundry, Google Vertex AI/Gemini, model routing, model lifecycle management, AI observability, evaluation, responsible AI guardrails, and…
Added 5 days ago
AI Security Engineer
Celestica International LP
Toronto, ON
consumption of internal teams, namely Vertex Ai and Azure AI Foundry.
Added 5 days ago
Architect
Dexian
Toronto, ON
Contract
…hybrid environments, including Azure OpenAI, Azure AI Foundry,Vertex AI/Gemini, model routing, model lifecycle management, AI observability, evaluation, responsible AI guardrails, and…

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

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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.

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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

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