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Added 11 days ago
AI FullStack Engineer
Synechron
Toronto, ON
$100,000 to $107,000 CAD / year
Full-time
Added 11 days ago
Data Scientist & Machine Learning Engineer
Identity Digital Inc.
Toronto, ON
$87,000 to $114,000 CAD / year
Full-time
…Argo Workflows, cloud data warehouses (BigQuery, Databricks, Snowflake), major cloud providers (AWS, GCP), Git, Kubernetes, MLFlow, Pandas, Polars, PyTorch, TensorFlow, SHAP and leveraging…
Added 11 days ago
Java & Snowflake Developer
Synechron
Calgary, AB
$75,000 to $85,000 CAD / year
Full-time
We are seeking a Java & Snowflake Developer to join our technology team. The ideal candidate will have strong hands-on experience in Java development, Snowflake, and SQL, along with…
Added 11 days ago
Tech Lead, Data & AI
Air Canada
Toronto, ON
Full-time
Knowledge of Azure, AWS, Snowflake, and other AI-driven platforms.
Added 11 days ago
ETL Consultant (Hybrid)
Cognizant
Halifax, NS
Full-time
…Management) to ingest data from diverse source systems into…
Added 11 days ago
Analytics Engineer, Risk
Propel Holdings
Toronto, ON
Full-time
Added 12 days ago
AI Governance Lead – Data Governance & CDGC
KData AI
Brampton, ON
Full-time
Experience with cloud data platforms such as Databricks, Snowflake, Azure Data Lake, or Azure Data Factory.
Added 12 days ago
Senior Data Engineering Specialist (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
Build and optimize large-scale distributed data platforms leveraging technologies such as Snowflake, Databricks, SingleStore, Apache Spark, and related analytics ecosystems.
Added 12 days ago
Data Engineer – Data Platform (AI-Enabled)
Petal
Canada
Full-time
We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector…
Added 12 days ago
Java Developer
J&M Group
Montreal, QC
Contract
We are hiring for a Java Developer. This role focuses on hands-on Core Java development for large-scale Market Risk technology platforms and distributed systems.
Added 12 days ago
Business Intelligence Developer
Walter Surface Technologies Incorporated
Pointe-Claire, QC
Full-time
Working with Sigma, Power BI, Snowflake, SQL, and dbt, the Senior BI Developer will translate business requirements into accurate, scalable, and well-governed reporting and data solutions.…
Added 12 days ago
Full Stack Developer – Data Engineering (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
We’re seeking someone to join our Data Obfuscation team as a Full Stack Developer – Data Engineering to design and deliver scalable, secure, and reusable data platforms and services that…
Added 12 days ago
Manager, Business Insights & Analytics
CI Financial
Toronto, ON
Full-time
Added 12 days ago
Data Platform Engineer
Apexon
Toronto, ON
Full-time
Design and develop Snowflake-native applications including Snowpark (Python), stored procedures, tasks, streams, and dynamic tables to support day-end processing engines that run natively…
Added 12 days ago
AI Platform Lead
Hydro One
Toronto, ON
$80 to $110 CAD / hour
Contract
Experience with Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), and LLM platforms (Snowflake Cortex and Microsoft Copilot)
Added 12 days ago
Senior Developer, Data Engineering
Venterra Realty
Richmond Hill, ON
Full-time
We are seeking a highly skilled and experienced Senior Developer to join our Data Engineering team. The ideal candidate will have a strong background in data engineering, with a focus on…
Added 12 days ago
Senior Developer, Data Engineering
Venterra Realty
Richmond Hill, ON
Full-time
We are seeking a highly skilled and experienced Senior Developer to join our Data Engineering team. The ideal candidate will have a strong background in data engineering, with a focus on…
Added 12 days ago
Data Engineer I
Docebo
Toronto, ON
$68,600 to $91,500 CAD / year
Full-time
Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while implementing table and view enhancements.
Added 12 days ago
Full Stack Developer – Data Engineering (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
We’re seeking someone to join our Data Obfuscation team as a Full Stack Developer – Data Engineering to design and deliver scalable, secure, and reusable data platforms and services that…
Added 12 days ago
AWS Data Architect
Quantiphi
Canada
Full-time
As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that…
Added 12 days ago
Data Engineer I
Docebo
Remote, Canada
$68,600 to $91,500 CAD / year
Full-time · Remote
Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while implementing table and view enhancements.
Added 12 days ago
Analyst, Databases
Reliance Home Comfort
Toronto, ON
…Analysis Services (SSAS), DAX, OLAP Cubes, Star Schema and Snowflake…
Added 12 days ago
Data Speaclist
AgileGrid Solutions
Canada
Full-time
Preferred qualifications include experience with Snowflake, Kafka, streaming architectures, AI/ML workloads, and certifications in Azure and Databricks, which are highly desirable.
Added 13 days ago
Managing Director, Data Product Lead - COO Group
RBC
Toronto, ON
Full-time
Graduate degree and experience with Databricks, Snowflake, Collibra, cloud platforms and AI-enabled data management.
Added 13 days ago
Architect - Machine Learning
Quantiphi
Canada
Full-time
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

Quantiphi

Architect - Machine Learning

Canada

Job type: Full-time
Posting language: English
Posted: Sep 14, 2026

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Original job description

About Quantiphi:

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies - we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

21 Google Cloud Partner of the Year awards in the past 10 years
3 AWS AI/ML Partner of the Year awards
3 NVIDIA Partner of the Year awards
3 Snowflake Partner of the Year awards
Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work - reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

Job Description:

Required Skills:

8+ years of experience in Machine Learning, AI, Software Engineering, Data Science, or Solution Architecture.
Strong experience designing and implementing enterprise-scale AI/ML architectures.
3+ years of hands-on experience with Generative AI, LLMs, and production AI applications.
Strong expertise in RAG (Retrieval-Augmented Generation), embeddings, vector databases, semantic/hybrid search, and knowledge retrieval.
Hands-on experience with Agentic AI, AI agents, tool/function calling, orchestration, and multi-agent workflows.
Strong proficiency in Python and experience with ML/AI frameworks such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face.
Experience with LLM platforms/models such as Azure OpenAI, OpenAI, AWS Bedrock, Anthropic, Google Gemini, Llama, or equivalent.
Strong knowledge of prompt engineering, context engineering, fine-tuning, model evaluation, guardrails, and hallucination mitigation.
Experience designing and implementing MLOps/LLMOps pipelines, including model deployment, monitoring, evaluation, versioning, and CI/CD.
Strong experience with at least one major cloud platform: Microsoft Azure, AWS, or GCP.
Experience with cloud AI/ML services such as Azure Machine Learning, Azure AI Foundry, AWS SageMaker/Bedrock, or Google Vertex AI.
Experience with Docker, Kubernetes, APIs, microservices, CI/CD, and Infrastructure as Code.
Strong understanding of data pipelines, data lakes/lakehouses, databases, data governance, and enterprise integration.
Experience with AI/ML security, privacy, Responsible AI, governance, and compliance.
Strong system-design and architecture skills, with the ability to translate business requirements into scalable technical solutions.
Excellent communication, presentation, stakeholder-management, and technical leadership skills.

Key Responsibilities:

Design end-to-end enterprise AI/ML architectures from data ingestion through model development, deployment, inference, monitoring, and optimization.
Lead the architecture and implementation of Generative AI and LLM-based solutions across enterprise use cases.
Design scalable RAG architectures, including document ingestion, chunking, embeddings, vector search, retrieval, reranking, and LLM generation.
Architect and implement Agentic AI solutions, including AI agents, tool calling, workflow orchestration, memory, and human-in-the-loop capabilities.
Evaluate and recommend LLMs, AI platforms, frameworks, and technologies based on performance, scalability, security, latency, and cost.
Define architecture standards and reusable patterns for GenAI, ML, MLOps, and LLMOps.
Lead the transition of AI/ML POCs and prototypes into production-grade solutions.
Design and implement MLOps/LLMOps capabilities for model lifecycle management, deployment, monitoring, evaluation, and continuous improvement.
Establish LLM evaluation and observability frameworks covering accuracy, relevance, hallucination, latency, token usage, cost, and reliability.
Work closely with Data Scientists, ML Engineers, Software Engineers, Data Engineers, Product Managers, Security teams, and business stakeholders.
Provide technical leadership and mentorship to AI/ML engineering teams.
Ensure AI solutions meet enterprise requirements for security, privacy, governance, Responsible AI, and regulatory compliance.
Identify opportunities to improve existing AI/ML platforms and optimize performance, scalability, and cloud costs.
Create architecture diagrams, technical specifications, design documents, standards, and implementation roadmaps.
Stay current with emerging GenAI, LLM, Agentic AI, ML, and cloud technologies and assess their applicability to business needs.

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More about this job

Responsibilities

Design and implement end-to-end enterprise AI/ML architectures, focusing on Generative AI, RAG, and Agentic AI solutions. Lead the transition of prototypes into production-grade solutions while establishing evaluation and observability frameworks.

Requirements

Requires 8+ years of experience in AI/ML or Software Engineering, with at least 3 years specifically in Generative AI and LLMs. Proficiency in Python, major cloud platforms (Azure, AWS, or GCP), and MLOps pipelines is essential.

Skills

Machine Learning
Generative AI
LLMs
RAG
Agentic AI
Python
PyTorch
TensorFlow
MLOps
LLMOps
Azure OpenAI
AWS Bedrock
Google Vertex AI
Docker
Kubernetes
System Design

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Generative AI
Large Language Models
RAG
Vector Databases
Agentic AI
Python
PyTorch
TensorFlow
Hugging Face
Azure OpenAI
AWS Bedrock
Google Gemini
Llama
MLOps
LLMOps
CI/CD
Docker
Kubernetes
Microservices
Infrastructure as Code
Data Lakes
Responsible AI
System Design
Cloud Computing
Azure
AWS
GCP
Vertex AI

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