Jobs in Canada

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Added 5 months ago
KC
Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Toronto, Ontario
- Full-time
Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft…
Added 5 months ago
KC
Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Vancouver, British Columbia
- Full-time
Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft…
Added 5 months ago
KC
Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Calgary, Alberta
- Full-time
Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft…
Added 2 months ago
P
Credit Tech senior Manager
PwC
Toronto, ON
- Full-time
Architect and oversee production grade data pipelines and model operationalization across a range of platforms, which may include credit decisioning and scoring platforms (for example,…
Added 2 months ago
AI Engineer
Guidepoint
Toronto, ON
…monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service…
Added 2 months ago
Senior Data/AI Engineer
Guidepoint
Toronto, ON
…monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service…
Added 4 months ago
A
Part Time - Data Architect
Architech
Toronto, ON
- Part-time
Data Architect (Microsoft Azure / Microsoft Fabric / AWS/ Databricks)
Added 2 months ago
A
Tech Delivery Lead-AI&Data
Accenture
Toronto, ON
- Full-time
Relevant certifications - AWS/Azure/GCP data or solutions architect, PMP, or Scrum/SAFe.
Added 2 months ago
A
Director-Technology Delivery-AI&Data
Accenture
Toronto, ON
- Full-time
…confidence the program is on track, and the person a client Chief Architect calls when a technical decision needs an experienced second…
Added 2 months ago
Senior Specialist, Data & Cloud Platform & Microsoft Azure
PowerCo SE
St. Thomas, ON
This senior expert role is pivotal in advancing PowerCo’s data-driven and cloud transformation. You will architect and lead Azure-based data and compute platforms that support predictive…
Added 4 months ago
RM
Data Team Lead
Redpath Mining Contractors and Engineers
Vaughan, Ontario
- Full-time
Experience with modern data platforms (e.g., Microsoft Fabric, Azure Data Factory, DataBricks or similar).
Added 4 months ago
MI
Full Stack Developer
Magna International
Brampton, Ontario
- Full-time
The Full Stack Developer will work with the IoT architect, technical product owner and a team of developers (Sr full stack, software, IoT, data science) to ensure the efficient and…
Added 4 months ago
TA
AI and Integration Architect
Tiger Analytics Inc.
Remote, Canada
- Remote
AI Strategy & Architecture: Define the technical blueprint and roadmap for enterprise AI adoption. Architect scalable frameworks for LLM integration, RAG, and predictive modeling, ensuring…
Added 4 months ago
KC
Senior Consultant - Data & Solution Architect
Keyrus Canada
Montreal, QC
- Full-time
📍 Location: Hyrbid - Montreal, Canada (2 days per week at the office)
Added 5 months ago
SI
IT Architect, Architecture & Analytics – Enterprise Analytics
Saputo Inc.
Remote, Canada
- Full-time
- Remote
Saputo is seeking a highly skilled and motivated IT Analytics Architect to join our Data Engineering & Analytics team. Reporting to the Senior Director of Data Engineering & Analytics, this…
Added 6 months ago
CP
Data Architect | Canada
Cuesta Partners
Remote, Canada
- $180,000 to $225,000 CAD / year
- Full-time
- Remote
Cuesta Partners is looking for a Data Architect to engage with us on transformational data programs with companies looking to take their AI & data capabilities to the next level.
Added 3 months ago
B
Databricks Solution Architect
BDO
Toronto, ON
- Full-time
We’re looking for a Databricks Solutions Architect who can bridge the worlds of technology, clients, and partnerships. This net-new role in our data team blends deep Databricks and Azure…

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Guidepoint

Senior Data/AI Engineer

Toronto, ON, Canada

Apply on job-boards.greenhouse.io About employer

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Job details

Experience: Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini.
Posting language: English
Posted: Aug 18, 2026

Original job description

Overview:

Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products.

This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products.

Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto.

What You'll Do:

Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems.
Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service (AKS).
Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction.
Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful copilots and research assistants.
Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation using frameworks like LLM Judges or MLflow, AI observability, and system monitoring.
Evaluate and Implement AI Strategies: Systematically evaluate and apply advanced prompt engineering methods (e.g., Chain-of-Thought, ReAct) and other model interaction techniques to optimize the performance and safety of proprietary and open-source LLMs.
Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards.
Influence the Roadmap: Partner closely with product and business stakeholders to translate user needs into technical requirements, define priorities, and shape the future of our AI product offerings.

What You Have:

Experience: A Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master’s degree with 4+ years of professional experience in backend software engineering and Generative AI. This must include a proven track record of designing, building, and scaling distributed, production-grade systems.
Strong Software Engineering Fundamentals: Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments.
Cloud & Infrastructure Proficiency: Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm).
Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini. Direct experience with modern LLM patterns such as retrieval-augmented generation (RAG), hybrid search using vector databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt engineering is required.
AI System Design and Evaluation: Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring for performance and drift.
Large-Scale Data Processing: Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark).
Familiarity with the Modern AI Stack: Practical experience with libraries and frameworks like LangChain or LlamaIndex for building LLM-powered applications.
Leadership and Mentorship: Demonstrated ability to lead complex technical projects and foster the growth of other engineers.

What We Offer:

The annual base salary range for this position is $135,000 - $210,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

Paid Time Off
Comprehensive benefits plan
Company RRSP Match
Development opportunities through the LinkedIn Learning platform

About Guidepoint

Guidepoint powers end-to-end research workflows for the world’s best research teams.

Backed by a global network of more than 2 million experts and over 1,600 employees, Guidepoint delivers real-time access to expertise, primary research, and actionable knowledge that help organizations make informed decisions. Through consultations, surveys, events, proprietary content, and AI-enabled tools, we support every stage of the decision-making process - from developing hypotheses and gathering insights to validating assumptions and building conviction for critical decisions.

At Guidepoint, our success relies on the diversity of our employees, experts, and clients, which enables us to foster meaningful connections and a broad range of perspectives. We are committed to creating an inclusive and welcoming environment where individuals of all backgrounds, identities, and experiences can contribute and succeed.

This job post is for a live vacancy. Base salary may vary depending on job-related knowledge, skills, and experience, as well as geographic location.

Compensation

$135,000 - $210,000 CAD

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

Architect and build scalable production systems and APIs to serve Generative AI features and RAG pipelines. Lead the end-to-end AI application lifecycle while mentoring junior engineers and influencing the product roadmap.

Requirements

Requires a Bachelor's or Master's degree with 4-6+ years of experience in backend software engineering and Generative AI. Must have proven expertise in Python, cloud infrastructure (Azure preferred), and modern LLM patterns like RAG and multi-agent systems.

Skills

Python
Generative AI
LLM
RAG
Databricks
Azure Kubernetes Service
FastAPI
Docker
Kubernetes
LangChain
LlamaIndex
MLOps
Vector Databases
Apache Spark
CI/CD
System Design

Benefits

Paid Time Off
Comprehensive Benefits Plan
Company RRSP Match
Development Opportunities Through LinkedIn Learning

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
RAG
LLMOps
Databricks
Azure
Kubernetes
Docker
Python
FastAPI
Flask
Asyncio
RESTful APIs
Microservices
ArgoCD
Pinecone
Elasticsearch
MLflow
Apache Spark
LangChain
LlamaIndex
Chain-of-Thought
ReAct
Vector Databases
Prompt Engineering
AI Observability
Distributed Systems
Backend Engineering
AI Agents
Cloud Computing

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Jobs in Canada