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Added 20 days ago
E
Services Professional (Early Career)
Ericsson
Toronto, ON
- Full-time
Proficiency in Python, SQL, and basic software testing
Added 21 days ago
Q
Design Verification Engineer, Senior Staff
Qualcomm
Toronto, ON
- Full-time
Strong scripting and automation skills using Python, Perl, Bash, Make, or similar tools.
Added 20 days ago
A(
Technical Manager
Amii (Alberta Machine Intelligence Institute)
Edmonton, AB
- Full-time
Added 20 days ago
D
Cloud, Automation & AI Engineer Consultant
Deloitte
Toronto, ON
- Full-time
Experience developing automation solutions using scripting or programming languages such as Python, PowerShell, Bash, or similar.
Added 20 days ago
J
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
Technical skills such as coding (Python/R), data modeling, and database management (SQL)
Added 20 days ago
Q
Architect - Machine Learning
Quantiphi
Canada
- Full-time
Strong proficiency in Python and experience with ML/AI frameworks such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face.
Added 20 days ago
CC
Product Manager – Agile Mobile & Digital Credential Solutions (Kotlin, Swift, React Native, Node.js, Go, Python)
CCI- Computer Consultants International, Inc.
Toronto, ON
- Contract
Has knowledge and experience with developing software with at least one primary stack (e.g., Kotlin/Swift/React Native for mobile; Node/Go/Python for backend services)
Added 26 days ago
AA
Software Developer IV, Data
ACV Auctions
Toronto, ON
- Full-time
We are looking for an exceptional Senior Software Developer to join our Platform Engineering group, focusing on the VIN Decoder platform. The position will focus on backend development, AWS…
Added 20 days ago
R
Senior Developer
RBC
Toronto, ON
- Full-time
Added 20 days ago
R
Senior Developer
RBC
Bedford, NS
- Full-time
Added 20 days ago
X
Photonics Lab Technician
Xanadu
Toronto, ON
- Full-time
Added 1 month ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Toronto, ON
- Full-time
Proficiency in Python and JavaScript/TypeScript (Next.js)
Added 20 days ago
UO
Postdoctoral Research Associate - Boundary-Layer Transition and Computational Stability
University of Notre Dame
Notre-Dame, NB
- Full-time
…addition to using existing methods to answer research questions. Python is the preferred language for new development, although experience with other scientific computing languages is…
Added 20 days ago
C
Crypto Engineer (Contract)
Capco
Toronto, ON
- Full-time
Experience with at least one scripting language, such as Python.
Added 21 days ago
S
Software Engineering Intern - Summer 2027
Superhuman
Remote, Canada
- $50 CAD / hour
- Internship
- Remote
…Engineering tech stack includes Java, TypeScript, JavaScript, C#, Python or Go, but feel free to apply if your specialty is…
Added 21 days ago
RI
Data Scientist
Remarcable, Inc.
Remote, Canada
- $150,000 to $180,000 CAD / year
- Full-time
- Remote
This is a high-ownership role for someone who's comfortable wearing multiple hats (analyst, scientist, developer) to shape data architecture and build out reporting, models, and insights…
Added 20 days ago
T
LEO Satellite Operations Engineering Specialist
Telesat
Ottawa, ON
- Full-time
Added 21 days ago
P
Financial Crime Analytics Senior Associate
PwC
Toronto, ON
- Full-time
Highly skilled and good working knowledge of SQL, Python, and other data mining/statistical software
Added 20 days ago
J
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
Strong proficiency in Python and experience working with LLM APIs (such as OpenAI, Anthropic, or open-source models via Hugging Face)
Added 20 days ago
J
DevOps Engineer, New Grad
Jobright.ai
Canada
- Full-time
…improving deployment automation, observability, reliability, and developer…
Added 20 days ago
J
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
- Full-time
- Part-time
Familiarity with at least one programming language (e.g. Python, JavaScript, TypeScript)
Added 20 days ago
J
Prompt Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
Proficiency in Python for scripting evaluation pipelines, parsing model outputs, and running batch prompt experiments at scale
Added 20 days ago
T
Senior Founding Engineer, Backend
Tyce
Toronto, ON
- Full-time
Expert-level Python; strong TypeScript / React.
Added 21 days ago
CS
DevOps Engineer Intern - PEY
Cerebras Systems
Remote, Canada
- Internship
- Remote
Create scripts and internal tools in Python and shell to automate repetitive engineering and operational tasks.
Added 20 days ago
S
Senior Analyst, Geographic Information System (GIS)
SYSTRA
Montreal, QC
- Full-time
Automate GIS workflows and data processing tasks using Python (ArcPy), FME, and Power Automate to streamline repetitive processes, improve efficiency, and reduce project delivery timelines.

Quantiphi

Architect - Machine Learning

Canada

Full-time

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Job details

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

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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