Jobs in Vaughan

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Within 25 km of Vaughan

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Fortiv Technical Inc.

Artificial Intelligence Engineer

Toronto, ON, Canada

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Apply by: Nov 27, 2026
Posted: Oct 28, 2026

Original job description

Onsite 3 days/week

About the role

A leading financial services institution is growing its AI practice and is looking for an AI Engineer to design, build and run production AI solutions on Azure and Databricks. You will take generative AI and machine learning use cases from prototype to production, with the reliability, monitoring and governance a regulated enterprise requires.

Key responsibilities

Design, build and deploy generative AI solutions on Azure AI Foundry, including RAG patterns, agents, prompt flows and model evaluation.
Establish and run LLMOps practices: prompt and model versioning, evaluation pipelines, guardrails, content safety, cost and latency monitoring.
Build and maintain MLOps pipelines for training, deployment, monitoring and retraining of machine learning models.
Develop and configure Databricks Genie spaces so business users can query governed data in natural language, including curating instructions, sample queries and trusted assets.
Work with data engineering teams on Databricks (Delta Lake, Unity Catalog, MLflow) to prepare and govern the data AI solutions depend on.
Partner with business stakeholders, product owners and risk teams to turn use cases into secure, compliant solutions.
Apply responsible AI practices, including model risk management, explainability, data privacy and audit requirements.
Contribute to the practice's reusable patterns, standards and engineering best practices.

Required qualifications

5+ years in software, data or machine learning engineering, including at least 2 years delivering generative AI or LLM solutions in production.
Hands-on experience with Azure AI Foundry and Azure OpenAI Service.
Proven LLMOps and MLOps experience, including CI/CD for models, evaluation, monitoring and drift detection.
Practical experience with Databricks, including MLflow and Unity Catalog; experience configuring Databricks Genie (AI/BI Genie).
Strong Python skills and solid SQL.
Experience with Azure services such as Azure AI Search, Azure Machine Learning, Azure Functions and Key Vault.
Experience with CI/CD tooling such as Azure DevOps or GitHub Actions.
Strong communication skills and comfort working with business and technical audiences.

Nice to have

Experience in banking, insurance or other regulated financial services.
Familiarity with agent frameworks such as Semantic Kernel, LangChain or LangGraph.
Microsoft certifications such as Azure AI Engineer Associate (AI-102); Databricks Machine Learning or Generative AI Engineer certification.

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More about this job

Responsibilities

Design, deploy, and operate production generative AI and machine learning solutions on Azure and Databricks, including RAG, agents, Genie spaces, and LLMOps/MLOps pipelines. Partner with data, business, product, and risk teams to deliver secure, governed, and compliant solutions while advancing reusable engineering practices.

Requirements

Requires 5+ years of software, data, or machine learning engineering experience, including at least 2 years delivering production generative AI or LLM solutions. Candidates need hands-on Azure AI Foundry, Azure OpenAI, Databricks, LLMOps/MLOps, Python, SQL, Azure services, and CI/CD experience, along with strong communication skills.

Skills

Generative AI
Azure AI Foundry
Azure OpenAI Service
LLMOps
MLOps
Databricks
MLflow
Unity Catalog
Databricks Genie
Python
SQL
Azure AI Search
Azure Machine Learning
CI/CD
Model Evaluation
Responsible AI

Visa sponsorship

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Keywords

Azure AI Foundry
Azure OpenAI Service
Generative AI
Large Language Models
Retrieval-Augmented Generation
AI Agents
Prompt Flows
LLMOps
MLOps
Model Evaluation
Guardrails
Content Safety
Databricks
Databricks Genie
Delta Lake
Unity Catalog
MLflow
Python
SQL
Azure AI Search
Azure Machine Learning
Azure Functions
Azure Key Vault
Azure DevOps
GitHub Actions
CI/CD
Model Risk Management
Responsible AI
Semantic Kernel
LangChain

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