Jobs in Canada

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Added 4 hours ago
T
SAP Customer Solution Director
Talan
Montreal, QC
- $170,000 to $220,000 CAD / year
- Full-time
Talan is an international group that supports its clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise.
Added 5 hours ago
J
Forward Deployed Engineer, Data Engineering & Architecture
Jobgether
Canada
- $130,000 to $150,000 CAD / year
- Full-time
As a Forward Deployed Engineer, you will work at the intersection of business operations, data engineering, and technology to transform complex business challenges into scalable,…
Added 5 hours ago
J
Forward Deployed Engineer, Data Engineering & Architecture
Jobgether
Canada
- $130,000 to $150,000 CAD / year
- Full-time
As a Forward Deployed Engineer, you will work at the intersection of business operations, data engineering, and technology to transform complex business challenges into scalable,…
Added 9 hours ago
RT
Senior Principal Engineer
Raising The Village
Remote, Canada
- Full-time
- Remote
Raising The Village’s mission is to build and strengthen pathways out of ultra-poverty through an approach guided by data, designed with communities, and scaled by partnerships. We work…
Added 11 hours ago
S
Lead, Account Solution Engineer/Manufacturing & Automotive
Salesforce
Toronto, ON · Montreal, QC · Canada - Montreal
- Full-time
As a Lead Solution Engineer, you will operate at the intersection of the Manufacturing & Automotive sector and Salesforce's cutting-edge technology, combining deep technical building skills…
Added 12 hours ago
A
Director, Enterprise Solutions - Google Cloud
APPLY
Toronto, ON
- Full-time
Shape and execute the technology vision for enterprise clients on Google Cloud, aligning AI, data, and modernization solutions with business objectives and transformation goals
Added 12 hours ago
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Senior AI Engineer. Innovation and R&D
Equinix
Toronto, ON
- Full-time
Document each model or solution: intended use, data provenance, limitations and evaluation results
Added 16 hours ago
D
Forward Deployed Engineer, Data Engineering & Architecture
dentalcorp
Toronto, ON · Support Centre - Toronto Office
- Full-time
The Forward Deployed Engineer, Data Engineering & Architecture works directly with business and technology teams to identify operational challenges and turn them into scalable, data-driven…
Added 18 hours ago
VB
Analyste Fonctionnel Data
Vaco by Highspring
Montreal, QC
- Full-time
Experience supporting cloud data-platform modernization, migration, or transformation programs.
Added 1 day ago
GC
Software Developer 1
Game Companies
Toronto, ON
- $73,900 to $109,360 CAD / year
- Full-time
…methodologies necessary to smite a challenge - and if a conventional solution doesn't exist, we innovate as necessary. Our software engineers are comfortable moving between front-end,…
Added 1 day ago
TL
Product Engineer
The Logistics Alliance Inc.
Mississauga, ON
- Full-time
…team, figure out what they actually need, and ship a working solution. You'll do that mostly by directing AI coding agents rather than writing every line yourself. You'll write the…
Added 1 day ago
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Principal Software Engineer / Architect – AI – Legal FDE
Thomson Reuters
Toronto, ON
- Full-time
Ensure every solution meets ethical AI, data protection, and enterprise security requirements.
Added 1 day ago
LA
Product Engineer
Logistics Alliance
ON · Mississauga, Ontario
- Full-time
…team, figure out what they actually need, and ship a working solution. You'll do that mostly by directing AI coding agents rather than writing every line yourself. You'll write the…
Added 1 day ago
4S
Senior Databricks Platform Architect / Lead
49 Solutions
Ottawa, ON
- $150,000 to $250,000 CAD / year
- Contract
Candidates must hold a valid and active Government of Canada Reliability, Secret or Top Secret security clearance
Added 1 day ago
4S
Senior Databricks Platform Architect / Lead
49 Solutions
Remote, Canada
- $150,000 to $250,000 CAD / year
- Contract
- Remote
Candidates must hold a valid and active Government of Canada Reliability, Secret or Top Secret security clearance
Added 1 day ago
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Power BI Developer
Capgemini
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Role Summary requires 2 to 3 days per week in North York, Ontario
Added 1 day ago
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Product Specialist (Cloud Support SME)
Acceldata
Kitchener, ON
- Full-time
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures,…
Added 1 day ago
Technology - Brokerage Engineering - Senior Data Engineer
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 1 day ago
Y
AI Application Engineer
Yochana
Vancouver, BC
- Contract
Strong experience with Microsoft Azure cloud technologies.
Added 1 day ago
A
Product Specialist (Cloud Support SME)
Acceldata
Kitchener, ON
- Full-time
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures,…
Added 1 day ago
A
Product Specialist (Cloud Support SME)
Acceldata
Kitchener, ON
- Full-time
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures,…
Added 2 days ago
C
Senior Software Developer- Cloud & Data Platforms
CGI
Halifax, NS
- Full-time
In this role, you will work on complex business applications and data-driven platforms, taking ownership of solutions from requirements gathering and architecture through development,…
Added 2 days ago
M
Swarm Data Platform Solution Engineer
Microsoft
Toronto, ON
- Full-time
…in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for commercial customers at Microsoft. Here, you'll be at the forefront…
Added 2 days ago
A
Global Information Security Architect
Affinity
Vancouver, BC
- Full-time
Cloud-specific certifications are highly preferred, such as Google Professional Cloud Security Engineer or Microsoft Cybersecurity Architect Expert.
Added 2 days ago
KT
Account Executive – B2B Technology Solutions
KSPACE TECHNOLOGIES HQ
Remote, Canada
- $45,000 to $55,000 CAD / year
- Full-time
- Remote
Our expertise spans software engineering, artificial intelligence, enterprise systems, IT infrastructure, cloud technologies, data analytics, and strategic technology advisory.

Equinix

Senior AI Engineer. Innovation and R&D

Toronto, ON, Canada

Full-time

Apply on equinix.wd1.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Nov 12, 2026

Original job description

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.Help us challenge assumptions, uncover bias, and remove barriers - because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you - because when you feel valued, you’re empowered to do your best work.

Job Summary

Researches, prototypes and proves new GenAI and agentic ideas that raise Equinix’s internal productivity and create capabilities for external products. Works in the AI Innovation and R&D pod, running experiments from hypothesis to working prototype, measuring each against quality, cost and business value, and handing validated ideas to product and platform teams as production-ready designs. Innovation areas include small language models (SLMs) and open-weight model customization, token economics, agent and workflow automation, and other emerging AI techniques.

Knowledge and Application

Applies deep working knowledge of modern AI techniques: LLM and SLM development, parameter-efficient tuning, distillation, quantization, retrieval, agent orchestration, and tool-use and function-calling models. Understands how model size, context length, caching and routing drive token cost and latency. Reads and applies current research, and benchmarks open-weight and commercial models on the same tasks. Applies established engineering and model-governance practices and proposes improvements.

Complexity and Problem Solving

Works on open-ended problems where the right approach is not yet known. Frames each idea as a testable hypothesis with success metrics, selects methods, datasets and evaluation criteria, and decides with evidence whether to scale, change or stop. Resolves tradeoffs among quality, cost, latency, security and operational complexity. Work is reviewed at design and milestone gates.

Collaboration and Interaction

Partners with Product, Platform, InfoSec, Legal, Finance and business teams to find high-value use cases. Explains results and tradeoffs to senior and non-technical stakeholders. Advises teams on which AI approach fits their problem. Accountable through the pod for delivery of innovation targets.

Responsibilities

Innovation and prototyping

Identify and test GenAI and agentic ideas for internal productivity and external product use cases
Build prototypes quickly, validate them with business teams against defined success metrics, and hand off production-ready designs and reference implementations
Track new models, techniques and tools; document which apply to Equinix and which do not

Small language models and model customization

Benchmark open-weight and commercial models on shared task datasets: quality, latency, cost, license terms
Fine-tune, distill and quantize models for defined tasks, including tool-use and agentic behavior, and show measured gains over the baseline
Feed results into the recommended-model catalogue owned by the Principal PM

Token economics and inference

Build cost models per agent and workflow: tokens, calls, caching, compute and cost per completed task
Test cost controls: model routing, context compression, caching, batching and budget limits
Optimize serving (e.g., vLLM, SGLang) with the platform team

Evaluation and rigor

Make experiments reproducible: versioned data, code, configs and results
Gate each prototype’s promotion on evaluation thresholds, using the Agent Intelligence evaluation platform
Turn failures and feedback into tuning data, regression tests or design changes

Responsible practice

Document each model or solution: intended use, data provenance, limitations and evaluation results
Apply license, data-boundary and security requirements with InfoSec and Legal

Qualifications

Required

5–8 years in ML or software engineering, including 3+ years in LLM or deep-learning development
Track record of taking AI ideas from prototype to production or to a documented decision to stop
Hands-on experience with at least one of: fine-tuning or parameter-efficient tuning (e.g., LoRA), distillation, quantization, agent or retrieval systems
Experience building evaluation harnesses and using results to make decisions
Ability to build cost and performance models for AI workloads
Proficiency in Python and PyTorch, and with Hugging Face tooling
Clear written and verbal communication with non-technical stakeholders

Nice to have

Experience with inference and serving (e.g., vLLM, SGLang), batching and GPU optimization
Preference optimization or reinforcement learning, and tool-use or function-calling fine-tuning
Experience with multi-agent systems, model routing and MLOps
Experience with open-weight model licensing, model governance or responsible-AI programs
Published research, patents or open-source contributions
BS or MS in computer science, machine learning or a quantitative field, or equivalent experience

What success looks like

Each quarter, a set of innovation ideas is tested, with a documented scale, change or stop decision for each
Each tested workflow has a measured cost per task and a documented model choice
Every promoted prototype has an evaluation record and documentation

The targeted pay range for this position in the following location is / locations are:

Canada - Toronto Office TRO : 142,000 - 212,000 CAD / Annual

United States - Redwood City Office GHQ : 190,000 - 286,000 USD / Annual

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

Equinix Benefits

As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.

Employee Assistance Program: An Employee Assistance program is available to all employees.


US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.

Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). - Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.


Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

We use artificial intelligence in our hiring process. Learn more here.


This posting is a new position within our organization.


Apply on equinix.wd1.myworkdayjobs.com About employer

More about this job

Responsibilities

Research, prototype, and validate GenAI and agentic ideas to improve internal productivity and external product capabilities. Collaborate with cross-functional teams to translate validated experiments into production-ready designs and reference implementations.

Requirements

Requires 5-8 years of experience in ML or software engineering, with at least 3 years focused on LLM or deep-learning development. Candidates must demonstrate proficiency in Python, PyTorch, and the ability to take AI concepts from prototype to production.

Skills

Python
PyTorch
LLM development
Deep learning
Fine-tuning
Parameter-efficient tuning
Distillation
Quantization
Agent orchestration
Retrieval systems
Hugging Face
GenAI
Token economics
Model governance
MLOps
Inference optimization

Benefits

Health insurance
Life insurance
Disability insurance
Retirement plan
Paid time off
Paid holidays
Employee assistance program

Visa sponsorship

Not detected in the job text

Keywords

GenAI
LLM
SLM
Agentic systems
Python
PyTorch
Hugging Face
LoRA
vLLM
SGLang
Token economics
Model distillation
Quantization
Retrieval-augmented generation
MLOps
Model governance
Responsible AI
Inference
GPU optimization
Reinforcement learning
Data provenance
Prototyping
R&D
Software engineering
Machine learning
Cloud infrastructure
Latency optimization
Cost modeling
Function calling
Model routing

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Work requirements

Jobs in Canada