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Added 8 hours ago
AVP, GTO Strategy & Transformation
Manulife
Toronto, ON
Full-time
As AVP, GTO Strategy & Transformation, you will lead GTO's strategy, transformation agenda, and multi-year roadmap, while also overseeing the GTO global AI platform roadmap. Your focus will…
Added 10 hours ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Full-time
Lead modularization and platform decoupling efforts to reduce tech debt, improve maintainability, and empower team-level ownership
Added 10 hours ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Lead modularization and platform decoupling efforts to reduce tech debt, improve maintainability, and empower team-level ownership
Added 14 hours ago
Lead Full Stack Developer, Vice President
Citi
Mississauga, ON
Full-time
…Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global…
Added 16 hours ago
Project Manager
Kaha
ON · Ontario, Canada
Full-time
…client lifecycle, manages compliance with KYC, AML and other regulatory compliance obligations and reduces risk with continuous monitoring of clients and transactions throughout the client…
Added 2 days ago
Vice-President, Enterprise Media & Owned Channels
CIBC
Toronto, ON
Full-time
Build and lead owned channel operations capabilities across Quality & Compliance, Data Operations, Audience Management, Journey Management, and Campaign Management, while maintaining…
Added 2 days ago
Vice-President, Enterprise Media & Owned Channels
CIBC
Toronto, ON
Full-time
Build and lead owned channel operations capabilities across Quality & Compliance, Data Operations, Audience Management, Journey Management, and Campaign Management, while maintaining…
Added 3 days ago
Vice President, Customer Support & Operational Excellence
goeasy Ltd.
Mississauga, ON
Full-time
…transformation agenda for centralized operations - building a scalable, tech-enabled, customer-obsessed function that improves outcomes, reduces friction, strengthens operational…
Added 8 days ago
Controller (15-month Mat Leave)
Northern
London, ON
Temporary
Tax & Audit: Lead annual audits, acting as the primary contact for external audit team, assist with the preparation of tax schedules and annual filings, manage SR&ED claims, and ensure full…
Added 8 days ago
Solutions Architect #26-23652
US Tech Solutions
Toronto, ON
$95 to $100 CAD / hour
Contract
The Architect will design end-to-end AI solution architectures, including AI/LLM gateways, agentic AI platforms, model access patterns, RAG and knowledge-retrieval patterns, AI…
Added 9 days ago
Quality Engineering Lead, Digital & Tech Platforms
Vancity
Vancouver, BC · Toronto, ON
Full-time
Lead end-to-end Quality Engineering for the CBX program as the initial assignment, followed by other strategic and complex initiatives across Vancity.
Added 9 days ago
Quality Engineering Lead, Digital & Tech Platforms
Vancity
Toronto, ON
Full-time
Lead end-to-end Quality Engineering for the CBX program as the initial assignment, followed by other strategic and complex initiatives across Vancity.
Added 5 months ago
Senior Product Manager, Servicing
Nesto Cloud
Canada
Act as one of the primary servicing subject matter experts for your substream, with a deep understanding of end-to-end servicing processes, operational realities, and regulatory…
Added 10 days ago
Director of Product Management – Technical (AI, SaaS, Azure, .NET/C#)
BoomerangFX
Mississauga, ON
$100,000 to $120,000 CAD / year
Full-time
…operate. Recognized as one of North America’s Fastest Growing Tech Companies two years in a row by Deloitte’s Fast 500 program ranking 6th in Canada and 23rd in North America. We are a…
Added 10 days ago
Head of Operations- North America
Sokin
Toronto, ON
$170,000 to $210,000 USD / year
Full-time
…American region, working closely with compliance, product and tech to optimize internal processes and the customer experience and support strategic growth. This is a unique opportunity to…
Added 11 days ago
Architect - Machine Learning
Quantiphi
Canada
Full-time
Design end-to-end enterprise AI/ML architectures from data ingestion through model development, deployment, inference, monitoring, and optimization.
Added 11 days ago
Sr. Dir., Strategic Technology Initiatives Lead
Pfizer
QC · Clarke City, QC
Full-time
We are seeking a Senior Director, Strategic Technology Initiatives Lead to lead and connect Pfizer’s most important strategic technology initiatives with our eight Digital Core Platforms.…
Added 11 days ago
Sr. Dir., Strategic Technology Initiatives Lead
Pfizer
London, ON
Full-time
We are seeking a Senior Director, Strategic Technology Initiatives Lead to lead and connect Pfizer’s most important strategic technology initiatives with our eight Digital Core Platforms.…
Added 11 days ago
Sr. Dir., Business Technology Strategy
Pfizer
London, ON
Full-time
Strong understanding of enterprise architecture, digital standards, cloud platforms, data and integration patterns, AI-enabled delivery, security, and technology governance.
Added 11 days ago
Sr. Dir., Business Technology Strategy
Pfizer
QC · Clarke City, QC
Full-time
Strong understanding of enterprise architecture, digital standards, cloud platforms, data and integration patterns, AI-enabled delivery, security, and technology governance.
Added 11 days ago
Sr. Dir., Business Technology Strategy
Pfizer
Montreal, QC
Full-time
Strong understanding of enterprise architecture, digital standards, cloud platforms, data and integration patterns, AI-enabled delivery, security, and technology governance.
Added 22 days ago
AI practice lead - Financial services and Insurance
EPAM Systems
Canada
Full-time
EPAM is where tech talent thrives - building groundbreaking solutions, advancing your skills through world-class learning platforms, and working alongside a global community of…
Added 22 days ago
Technical Program Manager / Technical Program Lead
High Tech Genesis
Toronto, ON
Contract
Lead end-to-end delivery of integration and transformation programs.
Added 18 days ago
AI & Data Utilities Leader
Accenture
Calgary, AB · Vancouver, BC · Toronto, ON
Full-time
Shape the Utilities Data & AI agenda: own the industry point of view and go-to-market, including energy-transition advisory, rate case and regulatory environment, OT/IT convergence,…
Added 23 days ago
Staff Engineer – Software Development, Architecture, Security & Governance
Royal Bank of Canada
Toronto, ON
Full-time
…a Staff Engineer, you will have the opportunity to work and lead complex projects, collaborating with cross-functional teams to design, develop, and deploy production-grade applications…

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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