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Added 29 mins ago
Senior Power Systems Architect
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Added 29 mins ago
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Added 1 hour ago
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Artificial Intelligence Engineer
So Jobs
Toronto, ON
- $148,200 to $169,100 CAD / year
- Full-time
…intelligent systems at scale? We are looking for an innovative AI Engineer to help design, develop, and deploy next-generation AI-powered products and platforms. In this role, you will…
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So Jobs

Artificial Intelligence Engineer

Toronto, ON, Canada

$148,200 to $169,100 CAD / year · Full-time

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Job details

Pay: $148,200 to $169,100 CAD / year
Job type: Full-time
Apply by: Nov 25, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

Principal Associate, AI Engineer

Location: Toronto, Ontario, Canada (Hybrid)

Industry: Financial Services

Work Setting: Hybrid

Are you passionate about building cutting-edge AI solutions, advancing machine learning capabilities, and shaping the future of intelligent systems at scale? We are looking for an innovative AI Engineer to help design, develop, and deploy next-generation AI-powered products and platforms. In this role, you will collaborate with multidisciplinary teams to solve complex challenges, optimize large-scale AI systems, and deliver impactful solutions that enhance user experiences and business outcomes.

Key Responsibilities

Collaborate with engineers, researchers, product managers, and program teams to develop innovative AI-driven products and services.
Design, build, test, deploy, and maintain AI and machine learning solutions across the development lifecycle.
Develop and support advanced AI components, including large language model (LLM) applications, model inference systems, retrieval solutions, evaluation frameworks, governance controls, and monitoring capabilities.
Utilize modern AI technologies, open-source frameworks, and cloud-based platforms to create scalable and efficient solutions.
Drive innovation by researching, evaluating, and implementing emerging AI methodologies and optimization techniques.
Improve system performance through enhancements in scalability, latency, throughput, cost efficiency, and resource utilization.
Contribute to the long-term technical strategy, architecture, and roadmap for AI platforms and foundational services.
Partner with stakeholders to transform business needs into practical and impactful AI applications.
Ensure responsible AI practices through evaluation, governance, observability, and performance monitoring.
Participate in experimentation and continuous improvement to advance AI capabilities and customer outcomes.

Ideal Candidate

Passionate about building high-quality, reliable, and scalable software systems.
Keeps up with the latest advancements in artificial intelligence, machine learning, and applied research.
Excels at solving complex, ambiguous problems and turning innovative ideas into practical solutions.
Possesses strong analytical thinking and the ability to communicate technical concepts clearly and effectively.
Demonstrates creativity, curiosity, and a willingness to challenge conventional approaches.
Strong foundation in software engineering, algorithms, machine learning, and system design.
Thrives in dynamic environments and can successfully navigate evolving priorities and emerging technologies.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Computer Engineering, Electrical Engineering, or a related technical field.
Professional experience developing AI, machine learning, or advanced software engineering solutions.
Strong programming skills in one or more languages such as Python, Java, Go, Scala, C++, or similar technologies.
Experience designing, developing, and deploying production-grade software applications.
Understanding of machine learning concepts, model development, and AI system architectures.

Preferred Qualifications

Experience deploying scalable AI and machine learning solutions in cloud-based environments.
Hands-on experience developing, supporting, and maintaining AI services and platforms.
Knowledge of large language models, retrieval systems, vector databases, model guardrails, and AI orchestration frameworks.
Experience optimizing model training and inference workloads for performance, efficiency, and cost reduction.
Familiarity with modern AI/ML frameworks, distributed computing environments, and production deployment practices.
Understanding of responsible AI principles, monitoring, governance, and model lifecycle management.

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More about this job

Responsibilities

Design, develop, deploy, and maintain scalable AI and machine learning products, services, and platform components, including LLM applications, inference systems, retrieval solutions, and evaluation frameworks. Improve system performance and reliability, contribute to AI platform strategy, and ensure responsible AI through governance, monitoring, and collaboration with cross-functional stakeholders.

Requirements

A bachelor's or master's degree in computer science, artificial intelligence, computer engineering, electrical engineering, or a related technical field is required, along with professional experience developing AI, machine learning, or advanced software solutions. Candidates need strong programming skills, production software development experience, and a foundation in machine learning and AI system architecture; cloud AI, LLM, retrieval, optimization, and responsible AI experience are preferred.

Skills

Artificial Intelligence
Machine Learning
Software Engineering
Python
Java
Go
Scala
C++
Large Language Models
Retrieval Systems
Vector Databases
Model Inference
AI Orchestration
Cloud Platforms
Distributed Computing
Responsible AI

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Large Language Models
AI Applications
Model Inference
Retrieval Systems
Evaluation Frameworks
AI Governance
Monitoring
Python
Java
Go
Scala
C++
Cloud Platforms
Open-Source Frameworks
Vector Databases
Model Guardrails
AI Orchestration Frameworks
Distributed Computing
Production Deployment
Model Training
Inference Optimization
Scalability
Latency
Throughput
Cost Efficiency
Responsible AI
System Architecture
Financial Services

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