Find work in Canada.

486,968 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 4 days ago
Q
Sr Staff AI Software Engineer
Qualcomm
Markham, ON
- Full-time
…smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient…
Added 5 days ago
FT
Lead Software Engineer
Foreseeson Technology
Richmond, BC
- Full-time
We are seeking an out-of-the-box thinking Lead Software Engineer to join our innovative technical projects team. The ideal candidate will have strong expertise in; building code…
Added 5 days ago
P
Lead Data Scientist, Innovation Lab
PakEnergy
Calgary, AB
- Full-time
A Lead Applied AI Engineer, your peer, who designs and builds the Lab's generative AI, LLM and agentic systems and gets them into production.
Added 5 days ago
Q
Machine Learning Engineer, AI Processors
Qualcomm
Markham, ON
- Full-time
We are seeking a talented Machine Learning Engineer to join the Qualcomm AI Processor Solutions team, where you will help develop next-generation AI applications for Qualcomm Snapdragon…
Added 5 days ago
Q
Staff Machine Learning Framework, Complier & Performance Engineer
Qualcomm
Canada
- Full-time
As a member of Qualcomm’s ML Systems Team, you will participate in two activities:
Added 5 days ago
S
Backend / API Engineer, Radar
Stripe
Toronto, ON
- Full-time
…enterprise APIs that bring Radar’s capabilities into businesses’ own systems and payment flows, and the platform that powers it all. We build everything from reliable, low-latency…
Added 5 days ago
M
Senior Software Engineer - Backend
Microsoft
Vancouver, BC
- Full-time
…position requires deep expertise in low-latency distributed systems, solid leadership in large-scale refactoring and platform modernization, and close collaboration across engineering, data…
Added 5 days ago
M
In-House Technical Recruiter
Mendable
Toronto, ON
- $160,000 to $179,000 USD / year
- Full-time
Technical recruiting experience: You’ve closed technical hires at a startup (backend, infrastructure, ML, or developer tools) and can talk to an engineer about what they build.
Added 5 days ago
N
Software Engineer - C++/Linux - Envoy Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Improve the performance of systems to deliver for low-latency and high-throughput use cases.
Added 5 days ago
Q
Staff Deep Learning Compiler Engineer
quadric
Remote, Canada
- Full-time
- Remote
…devices across automotive, industrial, robotics, and embedded…
Added 5 days ago
Backend / API Engineer, Radar
Stripe
Toronto, ON
…enterprise APIs that bring Radar’s capabilities into businesses’ own systems and payment flows, and the platform that powers it all. We build everything from reliable, low-latency…
Added 5 days ago
GD
Junior Systems Engineer - Networking
General Dynamics Missions System International
Ottawa, ON
- Full-time
GDMS-C is seeking a Systems Engineer to join our Coalition and Joint Interoperability team working to support Land Command Support System (LCSS) in Ottawa, Canada. The Land Command Support…
Added 5 days ago
AI
Platform Engineer - Kubernetes, GitOps, Flux CD & AI/ML Infrastructure
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We're seeking a skilled Platform Engineer to deploy and manage AI/ML infrastructure, e.g. LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 5 days ago
A
Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
…production, and ensuring quality, value, and reliability of deployed systems. You will design and implement autonomous agents using Databricks Mosaic AI Agent Framework and frameworks like…
Added 5 days ago
A
Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
…lifecycle of Snowflake-native data products and agentic AI systems - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large…
Added 5 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Engineer trusted and audit-ready data through reconciliation, effective-dating, lineage, entitlements, data-quality controls, and traceability across the data lifecycle.
Added 5 days ago
C
Software Engineer
Correct-AI
AB · Greater Edmonton Metropolitan Area
- Full-time
Correct-AI is seeking a Software Engineer to join our core engineering team. Reporting to the Director of Technology, the successful candidate will be responsible for developing,…
Added 5 days ago
GD
Junior Systems Engineer - Networking
General Dynamics Mission Systems–Canada
Ottawa, ON
- Full-time
GDMS-C is seeking a Systems Engineer to join our Coalition and Joint Interoperability team working to support Land Command Support System (LCSS) in Ottawa, Canada. The Land Command Support…
Added 5 days ago
L
Senior AI/ML Engineer
Limbic
Remote, Canada
- Full-time
- Remote
Senior AI/ML Engineer, remote in Canada: own the AI that assesses patients for US healthcare providers and gets them to the right mental health care faster.
Added 5 days ago
F
In-House Technical Recruiter
Firecrawl
Toronto, ON
- $160,000 to $179,000 USD / year
- Full-time
Technical recruiting experience: You’ve closed technical hires at a startup (backend, infrastructure, ML, or developer tools) and can talk to an engineer about what they build.
Added 5 days ago
H
Senior ML Engineer
Hays
Toronto, ON
- $90 to $100 CAD / hour
- Contract
We’re looking for a Senior Machine Learning Engineer to join a large enterprise organisation working on next-generation personalisation, recommendation systems and Generative AI…
Added 5 days ago
WD
Senior Site Reliability Engineer
Walt Disney Animation Studios
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
The Senior Site Reliability Engineer will drive the design, implementation, and operation of reliable, scalable infrastructure across the studio. This role partners closely with team…
Added 5 days ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for a Data Engineer with strong backend engineering fundamentals and hands‑on experience building scalable, high‑performance data pipelines. The ideal candidate comes from a…
Added 5 days ago
ZC
Data Engineer
Zurich Canada
Toronto, ON
- Full-time
Zurich Canada is currently looking for a Data Engineer to build, operate, and support data pipelines and analytics-ready datasets that power reporting, advanced analytics, and AI-enabled…
Added 5 days ago
Senior Applied AI Engineer - Artificial Intelligence
Bloomberg
Toronto, ON
…financial query understanding, code generation and agentic systems over structured data. They bridge the gap between pioneering research and production, building models and agents that…

Accenture

Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers

Mississauga, ON, Canada
Montreal, QC, Canada

Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $75,400 to $125,400 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $75,400 to $125,400
Job type: Full-time
Posting language: English
Posted: Oct 20, 2026

Original job description

We are:

The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.

Stronger together!

The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

The value for our clients and our people:

For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

You are:

As a Forward Deployed Technical Consultant-Databricks, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. You will design, build, and operationalize enterprise-grade data and agentic AI solutions in Databricks and Azure Data Services. Your role spans the full solution lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. You will design and implement autonomous agents using Databricks Mosaic AI Agent Framework and frameworks like LangChain or AutoGen.

You’ll work closely with analytics, data science, and cloud teams to ensure reliable, high-performance data delivery for the clients we serve.

THE WORK

Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
Architect, develop, and maintain scalable, low-latency data pipelines to ingest and transform diverse datasets leveraging Azure Databricks workflows and Spark technologies.
Design and optimize lakehouse architecture using Delta Lake tables following Bronze, Silver, and Gold layers to ensure efficient, reliable, and governed data storage.
Design and implement autonomous agents using Databricks Mosaic AI Agent Framework and frameworks like LangChain or AutoGen
Build and optimize vector search indexes using Databricks Vector Search for accurate context retrieval.
Design AI agents with retrieval, orchestration, tool invocation, evaluation harnesses, and lifecycle observability.
Process large-scale distributed datasets on the Databricks Intelligence Platform with Apache Spark.
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
Justify the value of model approaches in business problems
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location

BASIC (REQUIRED) QUALIFICATION

Bachelor’s degree or completion of a college program in a related discipline
Minimum 3 years of experience working with Microsoft Azure cloud data services.
Minimum 3 years of hands-on experience with Databricks : PySpark, Delta Lake, Auto Loader, Lakehouse Medallion Architecture (Bronze, Silver, Gold).
Experience with Git-based version control and CI/CD pipelines (Azure DevOps or GitHub Actions).
Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, and programming
Minimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, scientific compute, grid and cloud computing, distributed networks

English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

PREFERRED QUALIFICATION

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks.
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
Experience in MLOps/LLMOps (CI/CD for ML and LLM Lifecycle)
Genie product Family
Databricks certified Data Engineer Professional (2025)
Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below. The recruiting efforts for this position are intended to fill a brand new position. The base pay range shown below is intended as a guideline to reflect the majority of offers for this role. It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

Information on benefits is here: https://www.accenture.com/ca-en/careers/local/benefits

Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $75,400 to $125,400

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services - creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Apply About employer

More about this job

Responsibilities

Design, build, and operationalize enterprise-grade AI and machine learning solutions using Databricks and Azure Data Services. Develop scalable data pipelines, implement autonomous agents, and manage the full lifecycle of AI models to solve complex business problems.

Requirements

Requires a bachelor's degree and at least 3 years of experience with Microsoft Azure and Databricks technologies. Candidates must possess strong technical skills in distributed computing, CI/CD pipelines, and AI/ML frameworks.

Skills

Databricks
Azure
PySpark
Delta Lake
Machine Learning
Generative AI
Large Language Models
Python
MLOps
Data Engineering
Cloud Computing
Autonomous Agents
LangChain
CI/CD
Data Pipelines
Vector Search

Benefits

Health insurance
Professional development
Global career opportunities

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Azure
PySpark
Delta Lake
Lakehouse Architecture
Generative AI
Large Language Models
Machine Learning
MLOps
LLMOps
Python
LangChain
AutoGen
Mosaic AI
Vector Search
CI/CD
Azure DevOps
GitHub Actions
Distributed Computing
Data Engineering
Cloud Computing
Artificial Intelligence
Deep Learning
Data Pipelines
HPC
Consulting
Software Engineering
Data Science
Analytics
Automation

Report this job