“Vertex AI” jobs in Canada – Page 7

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• 1mo

  Forward Deployed Engineer (Generative AI)

  Remote in Canada

  RemoteFull Time

  

  Tiger Analytics Inc.

  Candidates need hands-on Vertex AI experience, advanced SQL for BigQuery, Python for ML engineering and data preprocessing skills. Experience with Google Cloud Storage, Vertex AI endpoints and Gen AI or agentic architectures is also expected.

  Vertex AI, BigQuery, Dataflow, AlloyDB, Spanner, Google Cloud Storage

  1mo

  Senior Agentic AI Engineer

  Remote in Canada

  RemoteFull Time

  

  Tiger Analytics Inc.

  Candidates need a degree in computer science, engineering, design or a related field, plus professional AI/ML or GenAI experience. They should know LLMs, agents and prompt engineering, and be able to build quick prototypes and present ideas clearly.

  Python, NodeJS, Streamlit, LangGraph, AWS, GCP

  1mo

  Senior Machine Learning Engineer (GCP)

  Remote in Canada

  Remote

  

  Tiger Analytics Inc.

  Candidates need hands-on experience with Google Cloud and Vertex AI, strong Python skills and production ML experience. Advanced generative AI, RAG and agent frameworks are also expected.

  Vertex AI, BigQuery, Cloud Run, Cloud Functions, Pub/Sub, Dataflow

  1mo

  Forward Deployed Engineer (Generative AI)

  Remote in Canada

  RemoteFull Time

  

  Tiger Analytics Inc.

  Candidates need hands-on experience with LLM frameworks, vector databases, model serving and cloud AI services. Strong Python, Kubernetes and Terraform skills, plus the ability to explain LLM limitations to clients, are expected.

  LangChain, LlamaIndex, AutoGen, PyTorch, Hugging Face, Kubernetes

  1mo

  Forward Deployed Engineer (Generative AI)

  Remote in Canada

  RemoteFull Time

  

  Tiger Analytics Inc.

  Candidates need advanced Google Cloud and Vertex AI experience, hands-on work with LLM frameworks and vector databases, and strong Python and Terraform skills. They must be able to explain LLM limitations to clients, debug across complex systems, and travel to client sites.

  Vertex AI, Google Kubernetes Engine, Terraform, Google Cloud SDK, Kubeflow, LangChain

  1mo

  Forward Deployed Engineer (FDE) - GenAI / Agentic AI

  Toronto, ON

  On-siteFull Time

  

  Tiger Analytics Inc.

  7+ YOECandidates need 7+ years of software, ML or AI engineering experience, strong Python skills, and hands-on experience building GenAI or agentic AI systems. Cloud deployment experience on AWS, Azure or GCP and comfort with client-facing work are also required.

  Amazon Bedrock, Azure OpenAI Service, Azure AI Search, Azure AI Foundry, Vertex AI, OpenSearch Serverless

• 1mo

  Principal AI Engineer - Tangerine

  Toronto, ON

  

  Scotiabank

  Candidates need proven AI leadership and delivery experience, strong Python skills, and hands-on experience taking LLM applications to production. They also need responsible AI, model risk management and AI governance knowledge, plus experience with microservices and authentication standards.

  Python, Scikit-learn, Pandas, NumPy, Docker, Kubernetes

• 1mo

  AI Solution Architect

  Toronto, ON

  HybridContract

  

  Workana

  8+ YOECandidates need 8+ years of IT experience, including 5+ years designing solution or integration architecture, and a bachelor's degree in computer science or a related field. Hands-on experience with Azure AI, LangGraph/LangChain, microservices, and cloud security is required.

  Azure AI Foundry, Azure OpenAI, LangGraph, LangChain, LangSmith, Vertex AI

  1mo

  AI Solution Architect

  Mississauga, ON

  HybridContract

  

  Workana

  8+ YOECandidates need 8+ years of IT experience, including 5+ years designing solution or integration architecture, and a bachelor's degree in computer science or a related field. Hands-on experience with Azure AI, LangGraph/LangChain, microservices, and cloud security is required.

  Azure AI Foundry, Azure OpenAI, LangGraph, LangChain, LangSmith, Vertex AI

  1mo

  AI Solution Architect

  Vaughan, ON

  HybridContract

  

  Workana

  8+ YOECandidates need 8+ years of IT experience, including 5+ years designing solution or integration architecture, and a bachelor's degree in computer science or a related field. Hands-on experience with Azure AI, LangGraph/LangChain, microservices, and cloud security is required.

  Azure AI Foundry, Azure OpenAI, LangGraph, LangChain, LangSmith, Vertex AI

  1mo

  AI Solution Architect

  Markham, ON

  HybridContract

  

  Workana

  8+ YOECandidates need 8+ years of IT experience, including 5+ years designing solution or integration architecture, and a bachelor's degree in computer science or a related field. Hands-on experience with Azure AI, LangGraph/LangChain, microservices, and cloud security is required.

  Azure AI Foundry, Azure OpenAI, LangGraph, LangChain, LangSmith, Vertex AI

  1mo

  AI Solution Architect

  Oakville, ON

  HybridContract

  

  Workana

  8+ YOECandidates need 8+ years of IT experience, including 5+ years designing solution or integration architecture, and a bachelor's degree in computer science or a related field. Hands-on experience with Azure AI, LangGraph/LangChain, microservices, and cloud security is required.

  Azure AI Foundry, Azure OpenAI, LangGraph, LangChain, LangSmith, Vertex AI

• 1mo

  GenAI & Python Specialist - Operate

  Toronto, ON

  Contract, Temporary

  

  Deloitte

  6+ YOECandidates need 6+ years of hands-on AI or GenAI experience using Python, plus deep knowledge of LLMs, NLP and agentic workflows built with LangGraph. Advanced RAG skills, vector retrieval and production API and microservice deployment experience are required.

  Python, LangGraph, LangChain, Vertex AI, Appian, GitHub

  1mo

  Senior Consultant - GCP Data & AI Architect

  Toronto, ON

  

  Deloitte

  7+ YOECandidates need 7-10 years of technology experience, including 4-6 years building data platforms on Google Cloud. They need strong BigQuery, data pipeline, data modeling and governance skills, plus client-facing communication and stakeholder management.

  BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Dataform

  1mo

  Architecte (conseiller principal ou conseillère principale) des données et de l'IA de GCP

  Toronto, ON

  

  Deloitte

  7+ YOE7 à 10 ans d'expérience en technologie au total; 4 à 6 ans d'expérience sur Google Cloud; Maîtrise de BigQuery, Dataflow, Dataform/dbt et Composer

  BigQuery, Dataflow, Dataproc, Dataform, dbt, Cloud Composer

  1mo

  Senior Consultant - GCP Agent Platform Architect

  Toronto, ON

  

  Deloitte

  7+ YOECandidates need 7 to 10 years of technology experience, including 4 to 6 years hands-on with Google Cloud, and experience shipping enterprise AI agents on Vertex AI or Gemini Enterprise. They also need strong Python skills, knowledge of AI safety and governance, and clear client-facing communication.

  Vertex AI, Gemini Enterprise, BigQuery, Vertex AI Search, dbt, Dataplex

  1mo

  Senior Consultant - GCP Cloud Infrastructure Architect

  Toronto, ON

  

  Deloitte

  7+ YOECandidates need 7-10 years of technology experience, including 4-6 years hands-on with Google Cloud or a credible AWS/Azure transition. They need deep GCP networking, GKE, security, Terraform and CI/CD skills, plus strong client-facing communication.

  Google Cloud Platform, Terraform, Kubernetes, GKE, Cloud Run, Docker

  1mo

  Architecte (conseiller principal ou conseillère principale) d'infrastructure infonuagique de GCP

  Toronto, ON

  

  Deloitte

  7+ YOE7 à 10 ans d'expérience en technologie, dont 4 à 6 ans sur Google Cloud; Maîtrise de Terraform, Kubernetes et des services réseau GCP; Solide expérience en sécurité infonuagique

  GKE, Terraform, Kubernetes, Docker, Helm, Cloud Build

  1mo

  Architecte (conseiller principal ou conseillère principale) de la plateforme Agent de GCP

  Toronto, ON

  

  Deloitte

  7+ YOE7 à 10 ans d'expérience technologique, dont 4 à 6 ans sur Google Cloud; Expérience pratique des agents d'entreprise sur Gemini Enterprise ou Vertex AI; Maîtrise de Python et connaissance d'ADK ou de A2A

  Vertex AI, BigQuery, Vertex AI Search, Dataplex, dbt, Apigee

• 1mo

  Lead Full Stack Developer

  Toronto, ON

  $130k–$150k/yrFull Time

  

  Publicis Groupe Holdings B.V

  8+ YOECandidates need 8+ years of software engineering, including hands-on technical leadership on multi-service production systems. Strong backend, React/TypeScript literacy, GCP and Kubernetes experience, and real AI/LLM production experience are required.

  Kubernetes, GKE, React, Spring Boot, FastAPI, Vertex AI

  1mo

  Senior Associate Data Engineering (Azure/Databricks) Hybrid

  Toronto, ON

  Full Time

  

  Publicis Groupe Holdings B.V

  Candidates need hands-on experience with an end-to-end data pipeline and a major cloud platform, especially Azure and Databricks. They also need strong Python and Spark skills, Airflow experience, and familiarity with AI engineering and MLOps concepts.

  Azure Databricks, Azure Data Lake Storage, Azure Functions, Azure Kubernetes Service, Azure Data Factory, Apache Spark

• 1mo

  Senior Consultant, ML/AI Engineer, Data & AI

  Vancouver, BC

  Full Time

  K

  KPMG

  3+ YOECandidates need a university degree in a technical field and 3+ years of professional ML or data science experience with production deployments. Strong Python skills, cloud experience (Azure, AWS or GCP), and GenAI or LLM experience are essential.

  Python, scikit-learn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLflow

  1mo

  Manager, ML/AI Engineer, Data & AI

  Toronto, ON +1

  Full Time

  K

  KPMG

  5+ YOECandidates need a university degree in a technical field and 5+ years of machine learning or AI engineering experience with production deployments. Strong Python, cloud ML platform and MLOps skills are required, along with generative AI and LLM experience.

  Python, scikit-learn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLflow

  1mo

  Senior Consultant, ML/AI Engineer, Data & AI

  Toronto, ON +2

  Full Time

  K

  KPMG

  3+ YOECandidates need a university degree in a technical field and 3+ years of professional ML or data science experience with production deployments. Strong Python skills, cloud experience (Azure, AWS or GCP), and GenAI or LLM experience are essential.

  Python, scikit-learn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLflow

6 companies