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Added 1 month ago
O
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
- $168,000 to $231,000 CAD / year
- Full-time
Architect scalable ML and Generative AI systems integrating retrieval, inference, and evaluation pipelines.
Added 1 month ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
Architect scalable ML and Generative AI systems integrating retrieval, inference, and evaluation pipelines.
Added 1 month ago
D
Manager, Product Engineering & Development - Full-Stack Builder
Deloitte
Toronto, ON
- Full-time
Custom development: architect and build cloud-native applications across the full technology stack, leading modernization and product engineering from pursuit through production.
Added 1 month ago
S
Computer Vision Engineer
SearchLabs
Mississauga, ON
- $200,000 to $250,000 CAD / year
- Full-time
You thrive in zero-to-one environments where you can experiment, architect, build, and own AI systems from concept through production.
Added 1 month ago
1P
AI Architect
10 Percent Recruiting Ltd.
AB · Alberta, Canada
- Contract
Design enterprise AI platforms supporting generative AI, agentic AI, workflow automation, and knowledge-based solutions.
Added 1 month ago
IG
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
- Contract
…systems integration. Spans core iPaaS, API management, and Generative AI/Agentic Orchestration. Drives digital transformation of Legal operations, establishes platform governance, and…
Added 1 month ago
AS
Data Scientist
AgileGrid Solutions
Canada
- Full-time
Lead the end-to-end lifecycle of Generative AI and agentic AI solutions, including ideation, research, prototyping, implementation, evaluation, deployment, and ongoing support.
Added 1 month ago
Q
Architect - Machine Learning
Quantiphi
Canada
- Full-time
…High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI…
Added 1 month ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Build transformative ML systems from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks…
Added 1 month ago
FG
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
- Full-time
Build transformative ML systems from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks…
Added 1 month ago
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Staff Engineer - Inference /AI
Nutanix
Vancouver, BC
- $171,000 to $257,000 CAD / year
- Full-time
…enabling organizations to easily build, fine-tune, and run Generative AI, Large Language Models (LLMs), and next-generation Agentic AI applications without the complexity of managing AI…
Added 1 month ago
Q
Conversational AI Architect
Quantiphi
Canada
- Full-time
…High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI…
Added 1 month ago
B&
Expert Senior Manager, AI Engineering
Bain & Company
Zurich, ON
- Full-time
The Expert Senior Manager / Associate Partner AI Engineer will architect, build, and scale next-generation generative AI systems and agentic solutions for Bain’s clients. As a leader in the…
Added 1 month ago
Q
Technical Architect - Conversational AI
Quantiphi
Canada
- Full-time
…High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI…
Added 1 month ago
K
Staff Software Engineer
kadence
Toronto, ON
- Full-time
Experience building and deploying Generative AI, LLM, RAG, or agentic systems
Added 1 month ago
CI
Lead Software Engineer, AI & Emerging Tech
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
…organization. This is a hands-on, leadership role, where you will code, architect, pilot and build robust solutions, mentor engineers, and push the boundaries of what’s possible with AI,…
Added 1 month ago
Principal Development Architect
SAP
Montreal, QC
We are looking for an experienced AI Development Architect to design, develop, and lead the implementation of innovative Industry AI solutions. The ideal candidate combines strong software…
Added 2 months ago
FR
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
- Full-time
Build transformative ML systems from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks…
Added 1 month ago
PI
Solution Designer, Total Fund Solutions
PSP Investments | Investissements PSP
Montreal, QC
- Full-time
Experience leveraging AI-enabled technologies, including generative AI and agentic AI tools, to enhance software development, solution design, automation, productivity, and quality outcomes
Added 1 month ago
Architecte de solutions sénior | Sr. Solution Architect, Enterprise Industries
Amazon
Montreal, QC
…innovate, and transform their business. We are seeking a Solutions Architect to act as a trusted technical advisor, helping customers design and build scalable, secure, and innovative cloud…
Added 1 month ago
Solution Architect, Enterprise Industries
Amazon
Vancouver, BC
- Experience designing or implementing AI/ML solutions, including Generative AI and Agentic applications
Added 1 month ago
D
Manager Product Engineering & Development
Deloitte
Toronto, ON
- Full-time
Custom development: Architect cloud-native applications across the full technology stack (Java, .NET, Python, Node.js), shaping modernization and product engineering solutions from pursuit…
Added 1 month ago
D
Manager - Azure AI Engineering
Deloitte
Toronto, ON
- Full-time
We are seeking a Manager – AI Engineering to lead the design and implementation of enterprise-grade Generative AI and Agent-based solutions leveraging Azure AI, Copilot Studio, and Azure AI…
Added 1 month ago
PS
Solution Designer, Total Fund Solutions
Public Sector Pension Investment Board
Montreal, QC
- Full-time
Experience leveraging AI-enabled technologies, including generative AI and agentic AI tools, to enhance software development, solution design, automation, productivity, and quality outcomes
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
Build transformative ML systems from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks…

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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