Find work in Canada.

321,225 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 5 mins ago
EW
Engineering Project Manager II
ERCO Worldwide
Mississauga, ON
- Full-time
Added 5 mins ago
G
Senior Engineer, Maintenance
Glencore
Elkford, BC
- $123,000 to $145,000 CAD / year
- Full-time
Reporting to the Senior Supervisor, Engineer the Senior Engineer, Maintenance is responsible
Added 5 mins ago
CM
Senior Electrical Engineer
Cyclic Materials
Toronto, ON
- Full-time
We are seeking an experienced Senior Electrical Engineer to lead and support electrical engineering efforts for our recycling operations. Reporting to the SME Electrical Engineering, you…
Added 5 mins ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Added 7 mins ago
S
Senior DevOps Engineer – AI & Data Platform
Systematix
Canada
- Contract
We are Systematix and we are currently looking for a Senior DevOps Engineer – AI & Data Platform to help modernize and automate the engineering practices supporting a rapidly growing…
Added 7 mins ago
TT
HVAC engineer
Trane Technologies
Montreal, QC
- Full-time
…truly autonomous buildings. We’re looking for a Mechanical Engineer who brings deep knowledge of HVAC system design, commissioning, and field implementation - someone who understands how…
Added 7 mins ago
ES
Tosca QE
Epsilon Solutions Ltd.
Toronto, ON
- Contract
As a Quality Engineer you will plan and conduct a wide range of software quality tests and analyzes to ensure all application products and services meet organizational standards aligned to…
Added 7 mins ago
RE
Engineer (Physical AI)
Renesas Electronics
Ottawa, ON
- Full-time
We are seeking an entry level Engineer (Physical AI) to join the Pathfinding Studio within the Engineering Innovation Office. In this role, you will research and develop next generation…
Added 7 mins ago
BC
Senior Manager, Data & AI
BDO Canada
Vancouver, BC
- Full-time
Previous hands-on experience as a technical delivery professional, architect, developer, data engineer, analytics leader, or similar role, with the ability to remain technically credible…
Added 7 mins ago
K
Senior AI Software Engineer, Agentic Systems & Data Fabric
Kinaxis
Ottawa, ON
- Full-time
…reason about and act on enterprise data. As a Senior AI Software Engineer on the Data Fabric team, you will design and implement execution patterns, tool-calling infrastructure, and runtime…
Added 7 mins ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
You are a hands-on engineer with a strong production track record who takes ownership of your components, cares about operability and correctness, and collaborates well within your team.…
Added 7 mins ago
F
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
- Full-time
…customer-facing capabilities. We are seeking a Senior Staff Backend Engineer to join our application teams and help set technical direction across multiple domains within engineering.…
Added 8 mins ago
MI
Hemming Engineer
Magna International
Brampton, ON
- Full-time
Added 8 mins ago
SF
Associate Director, Data Engineer
SickKids Foundation
Toronto, ON
- Full-time
We’re committed to attracting and retaining passionate individuals to help create a healthier future. That’s why SickKids Foundation is looking for a new Associate Director, Data Engineer.
Added 8 mins ago
Developer Advocate
Asana
Vancouver, BC
Proven track record as a Developer Advocate, Developer Relations Engineer, or Senior Software Engineer with substantial experience building developer community programs.
Added 8 mins ago
Senior AI Engineer
Guidepoint
Toronto, ON
You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad…
Added 20 mins ago
J
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
…job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering teams to enhance…
Added 20 mins ago
LC
Senior Director, Pharmacy Experience and Transformation
Loblaw Companies Limited
Toronto, ON
- Full-time
Post-Secondary education in Industrial or Process Engineer / Technology / Business/ Healthcare or Operations
Added 20 mins ago
CL
Data Scientist
Charger Logistics Inc.
Brampton, ON
- Full-time
Certifications: Google Cloud Professional Data Engineer or Machine Learning Engineer is an asset; SnowPro® Advanced: Data Scientist certification preferred.
Added 20 mins ago
C
Cloud Content Engineer
CloudLearn.io
Surrey, BC
- Full-time
…real cloud environments. We're looking for a Cloud Content Engineer to build and maintain our lab catalogue and help shape our…
Added 22 mins ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
We're on the hunt for a top-tier Senior Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing…
Added 22 mins ago
QC
Quality Assurance Engineer
Quarry Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 22 mins ago
G
Technician, Mining
Glencore
Elkford, BC
- $96,000 to $113,000 CAD / year
- Full-time
Reporting to the Senior Engineer Supervisor, Geotech the Mine technician will participate in a variety of tasks, such as: Drone photogrammetric surveys, field layout and interaction with…
Added 23 mins ago
AI Engineer Sr
Dayforce
Canada
We are looking for an AI Engineer - Agentic Systems Evaluation to help define how we measure, test, and improve the quality of enterprise AI systems.
Added 38 mins ago
N
Information Security Engineer (Cloud) - Contract
Numeris
Toronto, ON
- Full-time

Dawn InfoTek

Senior Applied Intelligence Platform Engineer

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 4, 2026
Posting language: English
Posted: Oct 5, 2026

Original job description

Dawn InfoTek Inc. is a professional IT consulting firm that partners with major financial institutions, investment firms, and government organizations. We are committed to delivering cutting-edge IT consulting services and providing highly qualified talent for a wide range of technology positions.

We are currently seeking a Senior Applied Intelligence Platform Engineer to join our dynamic team and work with one of client.

Title: Senior Applied Intelligence Platform Engineer

Contract Duration: ASAP to December 24, 2027

Overview

Applied Intelligence is scaling enterprise AI across Microsoft Foundry, Databricks, Copilot Studio, and a mixed model estate spanning Anthropic, Azure OpenAI, other frontier models, and open source models.

This hands-on engineering role partners with AI Governance and Risk to translate NIST AI RMF and enterprise requirements into practical platform controls, reusable patterns, automated guardrails, and governance evidence across the AI lifecycle.

Who you'll work with:

You'll join the Applied Intelligence Platforms team and work closely with Platform Engineering, Data Engineering, Enterprise Architecture, Privacy, Enterprise Security, AI Governance and Risk, and the AI Centre of Excellence. You will report to the Senior Manager, Applied Intelligence Platforms.

What you'll do:

Apply safe deployment practices including automated builds, artifact versioning, deployment gates, and rollback strategies such as blue/green, canary, and shadow, avoiding manual production changes.
Develop operational runbooks, support procedures, incident response guidance, and recovery processes.

Responsible AI, Privacy and Governance Enablement

Partner with AI Governance, Privacy, Information Security, and the AI Centre of Excellence to translate enterprise requirements into practical implementation patterns.
Implement technical guardrails supporting responsible AI outcomes, including content safety, grounding, human-in-the-loop checkpoints, and auditability.
Apply secure AI implementation patterns aligned with OWASP guidance for LLM and agentic systems, mitigating risks such as prompt injection, insecure tool usage, model exfiltration, and data leakage.
Implement authentication and authorization flows using OAuth2 and OIDC so AI agents and services inherit appropriate user context and role-based access.
Implement privacy-supporting controls in AI solutions, such as data minimization, access scoping, retention alignment, and handling of sensitive data in prompts, logs, and retrieval sources.

AI delivery model

Define and operationalize the AI delivery model, including reusable implementation patterns, reference solutions, and engineering standards for RAG, agentic, and machine learning solutions.
Select and integrate models across the estate based on suitability, performance, and cost.
Partner with delivery teams to accelerate build and support production readiness.

MLOps, LLMOps and evaluation

Build and maintain pipelines covering development, evaluation, deployment, monitoring, and model lifecycle management.
Establish evaluation frameworks with measurable quality criteria, behavioural regression testing, and continuous evaluation of probabilistic systems.
Implement lineage, experiment tracking, and reproducibility using tools such as MLflow.

AI governance technical implementation

Translate NIST AI RMF and enterprise AI governance requirements into technical controls across Govern, Map, Measure, and Manage.
Implement reusable guardrails through platform configuration, CI/CD/IaC, evaluation gates, access controls, policy enforcement, and OWASP-aligned secure AI patterns.
Establish traceable governance evidence for models, agents, deployments, evaluations, approvals, and human-in-the-loop controls.
Partner with AI Governance and Risk to validate control effectiveness and escalate policy, privacy, security, and risk-acceptance decisions to accountable teams.

Operations, reliability and cost

Own the reliability, observability, and production support of enterprise AI services.
Own cost tracking, attribution, and optimization, treating cost as a measurable engineering metric.
Apply safe deployment practices and maintain runbooks, incident response, and recovery processes.
Enablement
Onboard teams onto approved AI platforms and patterns, and provide technical mentorship, documentation, and reusable assets.

Decision making

Independent analysis approach based on business context

What you'll need:

Qualifications:

Has shipped and supported production systems, and designs for failure.
Has debugged performance or latency issues in distributed systems.
Writes modular, testable code and favours automation over manual intervention.
Defines measurable success criteria before building, and can test systems where outputs vary.
Treats cost as a measurable engineering metric.
Bachelor's degree in a related technical field, or equivalent practical experience.

Knowledge:

Generative AI, LLMs, RAG, agentic systems, and enterprise AI application patterns.
Microsoft Foundry, Databricks/Unity Catalog/MLflow, Copilot Studio, AI Gateway/model access patterns, and mixed-model tradeoffs.
MLOps/LLMOps, CI/CD, Infrastructure as Code, evaluation, observability, and cloud-native engineering.
NIST AI Risk Management Framework (Govern, Map, Measure, Manage) and translation into engineering controls.
Responsible AI, human-in-the-loop design, auditability, privacy, IP, security, bias, and model misuse risks.
Cloud fundamentals, distributed systems and API design, observability, and data literacy.
Cloud cost management, consumption tracking, and cost attribution.
Proficiency in Python.

Experience:

7+ years in software, AI, machine learning, platform, or cloud engineering.
Hands-on experience building and operating production AI or machine learning solutions.
Experience implementing RAG and agent-based solutions.
Experience implementing MLOps and LLMOps capabilities end to end.
Experience implementing automated AI governance controls or evidence, ideally mapped to NIST AI RMF or another recognized framework.
Experience owning cost tracking and optimization of cloud or AI workloads.
Experience in a regulated environment is an asset.
Experience collaborating with Enterprise Architecture, Platform Engineering, Privacy, Security, and Governance teams in a large organization.
Experience in financial services, pension, asset management, or another regulated environment is an asset.

Apply About employer

More about this job

Responsibilities

Build and operate production AI platforms and solutions, including reusable patterns, model evaluation and lifecycle pipelines, secure deployment controls, and reliable, observable services. Translate AI governance, privacy, and security requirements into automated guardrails and traceable evidence, while managing costs and enabling delivery teams.

Requirements

Requires a bachelor's degree in a related technical field or equivalent practical experience, at least seven years of relevant engineering experience, and hands-on experience building and operating production AI or machine learning solutions. Candidates should be proficient in Python and experienced with RAG, agent-based systems, MLOps/LLMOps, cloud engineering, AI governance controls, and cost optimization.

Skills

Python
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic Systems
MLOps
LLMOps
Microsoft Foundry
Databricks
MLflow
CI/CD
Infrastructure as Code
NIST AI Risk Management Framework
OAuth2
OpenID Connect
Cloud Cost Management

Visa sponsorship

Not detected in the job text

Keywords

Applied Intelligence
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic Systems
Machine Learning
Microsoft Foundry
Databricks
Unity Catalog
Copilot Studio
Anthropic
Azure OpenAI
Python
MLOps
LLMOps
MLflow
CI/CD
Infrastructure as Code
NIST AI Risk Management Framework
Responsible AI
Human-in-the-Loop
OAuth2
OpenID Connect
OWASP
Model Evaluation
Observability
Cloud Cost Management
Distributed Systems
AI Governance
Financial Services

Report this job