Jobs in Canada

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Added 6 hours ago
S
Product Manager
SiftMed
St. John's, NL
- Full-time
When you don't know something, you find out. You call the customer, read the support tickets, check the data, or ask the engineer who built it.
Added 6 hours ago
K
Process Design Engineer/Analyst
Kinectrics
Toronto, ON
- Full-time
…separation technologies, advanced nuclear technologies, and related research, development, demonstration, and commercial deployment programs, while ensuring compliance with applicable…
Added 8 hours ago
K
DEVOPS ENGINEER
Kablamo
Toronto, ON
- Full-time
We are looking for a DevOps Engineer as we expand our impact with new customers. This posting supports positions to start between November 2026 and February 2027.
Added 10 hours ago
LM
Senior Software Engineer - Product Lead
Lockheed Martin
Ottawa, ON
- Full-time
…matter experts across the organization. The Senior Software Engineer will also have opportunities to contribute to broader organizational initiatives through stretch assignments that…
Added 10 hours ago
LM
Senior Software Engineer - Product Lead
Lockheed Martin
Ottawa, ON
- Full-time
…matter experts across the organization. The Senior Software Engineer will also have opportunities to contribute to broader organizational initiatives through stretch assignments that…
Added 10 hours ago
LM
Senior Software Engineer - Product Lead
Lockheed Martin
Dartmouth, NS
- Full-time
…matter experts across the organization. The Senior Software Engineer will also have opportunities to contribute to broader organizational initiatives through stretch assignments that…
Added 10 hours ago
LM
Senior Software Engineer - Product Lead
Lockheed Martin
Montreal, QC
- Full-time
…matter experts across the organization. The Senior Software Engineer will also have opportunities to contribute to broader organizational initiatives through stretch assignments that…
Added 10 hours ago
LM
Senior Software Engineer - Product Lead
Lockheed Martin
Victoria, BC
- Full-time
…matter experts across the organization. The Senior Software Engineer will also have opportunities to contribute to broader organizational initiatives through stretch assignments that…
Added 11 hours ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
…deliver AI-enabled solutions that improve productivity, quality, security, and developer…
Added 15 hours ago
Senior Software Engineer - Search & AI
Guidepoint
Toronto, ON
We are hiring a Senior Software Engineer to build and run the search systems that connect Guidepoint clients with the right experts. You will join the Search team in Data Engineering and…
Added 1 day ago
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Senior AI Engineer. Innovation and R&D
Equinix
Toronto, ON
- Full-time
…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…
Added 1 day ago
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AI Engineer, Trust & Evaluation
Equinix
Toronto, ON
- Full-time
…a team with senior engineers and with product, platform and security partners to turn defined problems into robust, secure, observable and performant…
Added 1 day ago
LM
Senior Software Engineer - Product Lead
Lockheed Martin
Ottawa, ON
- Full-time
…matter experts across the organization. The Senior Software Engineer will also have opportunities to contribute to broader organizational initiatives through stretch assignments that…
Added 1 day ago
NC
Senior Systems Engineer (2 positions)
NAV CANADA
Ottawa, ON
- Full-time
This position is a hybrid position with a minimum – 3 days per week on site
Added 1 day ago
AD
Product Engineering (Prod Dev) Intern
Analog Devices
Ottawa, ON · Canada, Ottawa
- Full-time
Analog Devices Inc. is seeking an ambitious ECE student as a Product (Design Evaluation) Engineer to join our RTP IC development team (Summer 2027). You will join a team of digital, analog…
Added 1 day ago
Fire Protection Engineer
Jensen Hughes
Mississauga, ON
Our engineers and consultants collaborate to solve complex safety and security challenges, ensuring our clients can protect what matters most. For over 80 years, we have helped mitigate…
Added 2 days ago
Q
Connectivity Systems Engineer, Senior Staff
Qualcomm
Toronto, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture,…
Added 2 days ago
P
Software Engineer
PointClickCare
Mississauga, ON
- Full-time
…reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as…
Added 2 days ago
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Software Engineer
PointClickCare
Mississauga, ON
- $81,900 to $102,400 CAD / year
- Full-time
…reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as…
Added 2 days ago
SS
Continuous Improvement Process Engineer
Samuel, Son & Co.
Markham, ON
- Full-time
Functional Benchmark: Research operational excellence relative to Process Engineering improvements across similar or divergent industries especially Tubing, Aerospace and Data Center.
Added 2 days ago
SS
Continuous Improvement Process Engineer
Samuel, Son & Co.
Markham, ON
- Full-time
- Functional Benchmark: Research operational excellence relative to Process Engineering improvements across similar or divergent industries especially Tubing, Aerospace and Data Center.
Added 2 days ago
PG
Technical Security Research Engineer
Pacer Group
Toronto, ON
- $60 to $65 CAD / hour
- Contract
Job Title: Technical Security Research Engineer
Added 2 days ago
PG
AI Security Research Engineer
Pacer Group
Toronto, ON
- $60 to $65 CAD / hour
- Contract
Strong hands-on experience in Cybersecurity Research, Security Engineering, or Application Security.
Added 2 days ago
A
Product Specialist (Cloud Support SME)
Acceldata
Kitchener, ON
- Full-time
Document and record all activity in accordance with both internal and external security standards
Added 2 days ago
FS
AI Security Engineer
Futran Solutions
Toronto, ON
- Full-time
Strong in AI/LLM security, threat modeling, vulnerability research, AppSec and emerging areas such as PQC.

Equinix

AI Engineer, Trust & Evaluation

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

Designs, develops and deploys the evaluation and trust capabilities of Equinix's GenAI platform. Builds platform features that let teams evaluate their agents at scale: golden datasets, synthetic test data, scoring with LLM-as-judge, and monitoring of agent quality in production. Builds and tests the trust controls that agents run on, including agent identity, access, guardrails and data boundaries. Traces agent failures to their root cause and fixes them in the platform. Works in a team with senior engineers and with product, platform and security partners to turn defined problems into robust, secure, observable and performant solutions.

Knowledge and Application

Applies solid knowledge of software engineering practice and of LLM and agent concepts (prompting, retrieval, tool and function calling, orchestration, MCP). Understands evaluation methods (code-based checks, LLM-as-judge, human review, golden datasets, regression suites) and evaluation statistics (sampling, variance across runs, agreement between reviewers). Understands AI security risks such as prompt injection and data leakage, and identity concepts such as OAuth and per-user access. Follows established standards and suggests improvements.

Complexity and Problem Solving

Works on problems of defined scope where analysis requires evaluation of identifiable factors. Traces an agent failure to its cause (retrieval, tool call, prompt, model, data or infrastructure) using logs and traces, and follows it until it is fixed. Judges whether a metric reflects real quality. Escalates unusual or high-impact issues. Work is reviewed at defined checkpoints.

Collaboration and Interaction

Works with AI engineers, product managers, forward-deployed engineers, platform and security teams. Turns the needs of agent builders into platform features. Explains results, defects and risks to partners who are not familiar with the subject. Asks for guidance early and shares knowledge with the team.

Responsibilities

Evaluation platform (primary focus)

Build platform features for evaluation: dataset creation and versioning, golden datasets, synthetic test data and reusable metric templates
Build scoring for agents: code-based checks, LLM-as-judge, tool-call accuracy and grounding checks
Build human-review features that compare judge scores against human reviewers, and recalibrate when agreement is low
Run evaluations at scale: before release, on every change to a prompt, model or tool, and on agents in production
Build evaluation playbooks so agent builders can evaluate their agents without specialist help
Keep results traceable to the agent, model, prompt and dataset versions tested, with a record of who approved each release

Trust and safety

Build and test the platform's trust controls: agent identity, per-user access to connected systems, tool permissions, guardrails and data boundaries
Run adversarial tests and red-teaming (prompt injection, out-of-scope requests, data-boundary tests), and turn findings into fixes and regression tests
Work with security and governance teams to turn policy requirements into automated checks

Root-cause analysis and quality

Investigate agent failures and performance problems end to end, and follow them until the cause is fixed
Build test and performance tooling: end-to-end agent tests, load and latency tests, and failure diagnostics
Turn production failures and user feedback into regression tests, so the same defect does not return

Quality and responsible practice

Write tested, reviewed and documented code, and contribute to shared libraries and tooling
Test and build to security, data-privacy and responsible-AI requirements

Qualifications

Required

1–4 years in AI/ML or software engineering (internships and applied research count)
Bachelor's degree in computer science, engineering, data science, mathematics or a related field, or equivalent experience
Proficiency in Python, with solid habits: version control, testing, code review. Experience building backend services or platform features
Hands-on experience building, not only using, evaluations or test systems for ML or LLM applications, including reading failures from logs or traces
Working knowledge of LLM applications (prompting, retrieval, agents)
Working knowledge of evaluation statistics (sampling, confidence intervals, variance across runs) and of measuring agreement between reviewers
Ability to write SQL and analyze results
Clear written and verbal communication

Nice to have

Experience building evaluation or observability features used by many teams or at scale
Experience with LLM evaluation and observability tools, and tracing standards such as OpenTelemetry
Experience with red-teaming or adversarial testing of LLM systems
Experience with identity and access (OAuth 2.0, OIDC, delegated access)
Experience with performance, load or test engineering
Experience with agent frameworks, MCP or A2A
Experience with Google Cloud (Vertex AI, GKE) and Kubernetes
Familiarity with AI risk frameworks (NIST AI RMF, ISO 42001)
MS in a related field

What success looks like

Platform features ship on schedule, with tests and documentation
Teams can evaluate their agents on the platform without specialist help
Every agent release carries an evaluation record with criteria, results, open defects and approver
Judge scores agree with human reviewers, and teams use them to make release decisions
Trust controls are enforced by the platform and covered by automated tests
Defects found in evaluation become regression tests, and the same defect does not return
The engineer takes on larger, less defined work each quarter with decreasing guidance

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

Canada - Toronto Office TRO : 102,000 - 152,000 CAD / 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.


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

The AI Engineer will design, develop, and deploy evaluation and trust capabilities for the company's GenAI platform, including building features for dataset creation, scoring, and agent monitoring. They will also implement trust controls such as identity management and guardrails while conducting root-cause analysis on agent failures.

Requirements

Candidates must have 1-4 years of experience in AI/ML or software engineering and a bachelor's degree in a relevant technical field. Proficiency in Python, experience with LLM applications, and strong analytical skills regarding evaluation metrics are required.

Skills

Python
Software engineering
Machine learning
LLM
Prompt engineering
Retrieval
Evaluation statistics
SQL
Data analysis
Identity and access management
OAuth
Kubernetes
Google Cloud
Red-teaming
Observability
Version control

Benefits

Health insurance
Life insurance
Disability insurance
Retirement savings plan
Vacation
Paid holidays
Employee assistance program

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
GenAI
Python
LLM
Machine Learning
Evaluation
Trust controls
Prompt injection
Data leakage
OAuth
Vertex AI
Kubernetes
OpenTelemetry
Red-teaming
SQL
Software engineering
Data science
Version control
Observability
Agent frameworks
MCP
NIST AI RMF
ISO 42001
Regression testing
Load testing
Latency testing
Identity management
Guardrails
Synthetic data
Golden datasets

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Work requirements

Jobs in Canada