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Added 1 month ago
WI
Air Quality Technician
WSP in Canada
Vancouver, BC
- Full-time
Lead and execute ambient air quality, meteorological, and environmental monitoring field programs across urban, industrial, and remote environments.
Added 1 month ago
Q
Design Verification Engineer, Senior Staff
Qualcomm
Toronto, ON
- Full-time
We are seeking a Senior Staff Design Verification Engineer to lead verification architecture and execution for DSP products, high-speed SerDes integration, full-chip SoC verification, and…
Added 1 month 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 1 month 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
Lead agile product delivery for digital credential solutions, supporting iterative design, testing, and continuous improvement.
Added 1 month 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 2 months ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Toronto, ON
- Full-time
Proficiency in Python and JavaScript/TypeScript (Next.js)
Added 1 month ago
MS
Software Developer in Test II
Motorola Solutions
Vancouver, BC
- Full-time
We are seeking a Software Developer in Test II (SDET) who shares an AI-First mindset to champion quality and reliability across our systems. In this role, you will leverage your expertise…
Added 1 month ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
…we're establishing Toronto as our AI innovation center. As a Lead ML Engineer, you'll be a technical champion driving this transformation - building breakthrough ML systems that others will…
Added 1 month ago
A
Information Technology - Senior Manager/Manager, Analytics & AI, Finance, Legal, Risk Technology
Aritzia
Vancouver, BC
- Full-time
Lead the design and delivery of governed semantic models, dashboards, self-service reporting, predictive analytics, scenario models, and exception-based insights that establish trusted…
Added 1 month ago
DC
System Integration Technical Lead
Delta Controls
Surrey, BC
- Full-time
The Systems Integration Technical Lead is responsible for ensuring Delta Controls products work effectively together as an integrated system and meet the needs of their intended…
Added 1 month ago
W
Senior Consultant, Air Quality
WSP
Vancouver, BC
- Full-time
Lead and deliver air quality projects for industrial, commercial, infrastructure and public-sector clients, supporting regulatory approvals, environmental impact assessments and special…
Added 1 month ago
W
Senior Air Quality Engineer
WSP
Vancouver, BC
- Full-time
Lead and deliver air quality projects for industrial, commercial, infrastructure and public-sector clients, supporting regulatory approvals, environmental impact assessments and special…
Added 1 month ago
W
Air Quality Technician
WSP
Vancouver, BC
- Full-time
Lead and execute ambient air quality, meteorological, and environmental monitoring field programs across urban, industrial, and remote environments.
Added 1 month ago
BD
Senior I/O Chiplet RTL Design Engineer
BTA Design Services Inc.
Ottawa, ON
- Full-time
Scripting skills in Python, Tcl, or similar languages to automate design flows
Added 1 month ago
A
Senior Manager/Manager, Analytics & AI, Finance, Legal, Risk Technology
Aritzia
Vancouver, BC
- Full-time
Lead the design and delivery of governed semantic models, dashboards, self-service reporting, predictive analytics, scenario models, and exception-based insights that establish trusted…
Added 1 month ago
S
Lead Data Scientist
Sigmoid
Canada
- Full-time
Summary: The role is expected to serve as the primary client-facing data science lead to design, build, and scale advanced AI and machine learning solutions for enterprise clients. This…
Added 1 month ago
KR
Senior BI ETL Developer
KTek Resourcing
Canada
- Contract
Working closely with application engineering, architecture, data/analytics and vendor teams. The Senior / Lead ETL Developer designs, develops, tests, deploys, and supports enterprise data…
Added 1 month ago
KR
Senior Java Software Engineer
KTek Resourcing
Montreal, QC
- Contract
Experience with Python, Spring Boot, and REST API development
Added 1 month ago
Lead Consultant, Gen AI
Lovelytics
Toronto, ON
Lovelytics is seeking a Lead GenAI Consultant with hands-on experience delivering client-facing projects in the Generative AI domain, particularly on the Databricks platform. As part of our…
Added 1 month ago
Kubernetes Systems Administrator – L3
Global Relay
Vancouver, BC
Proficiency in scripting languages such as Python, Ruby, Perl, and/or Bash
Added 2 months ago
FG
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
- Full-time
…we're establishing Toronto as our AI innovation center. As a Lead ML Engineer, you'll be a technical champion driving this transformation - building breakthrough ML systems that others will…
Added 1 month ago
R
Data Scientist
Raise
Calgary, AB
- Full-time
Design, build, test, and optimize scalable data models and ETL/ELT pipelines within Databricks using Python, PySpark, SQL, notebooks, workflows, and orchestration frameworks to support…
Added 2 months ago
KD
Founding Engineering Lead
Karbon Digital
Toronto, ON
- Full-time
We're looking for a Founding Engineering Lead for the technical evolution of Docufy AI.
Added 1 month ago
NB
Principal Lead AI Developer
National Bank of Canada
Montreal, QC
- Full-time
A career as a Lead AI Developer within the Commercial and 1859 team at National Bank means acting as a specialist in the development of advanced technology solutions. In this role, you will…
Added 1 month ago
GR
Kubernetes Systems Administrator – L3
Global Relay
Vancouver, BC
- Full-time
Proficiency in scripting languages such as Python, Ruby, Perl, and/or Bash

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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