Find work in Canada.

330,624 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 hour ago
Senior Quantitative Engineer
Royal Bank of Canada
Vancouver, BC · Toronto, ON
Full-time
Develop software for quantitative and portfolio management using Python
Added 2 hours ago
Senior Software Quantitative Engineer
RBC
Vancouver, BC · Toronto, ON
Full-time
Develop software for quantitative and portfolio management using Python
Added 2 hours ago
Senior ML/AI Engineer
Canadian Tire Corporation
Toronto, ON
Full-time
B.S or M.S, preferably in Computer Science/Statistics/Math/Engineering or a related quantitative discipline. PhD an asset.
Added 1 day ago
Senior Consultant Transmission Planning (Calgary)
Burns & McDonnell
Calgary, AB
Full-time
The Senior Consultant Transmission Planning will utilize extensive knowledge in electrical transmission planning and application of grid technologies to assess grid performance and ready…
Added 1 day ago
Senior C++ Software Engineer
Catch Talent
Montreal, QC
$150,000 to $230,000 CAD / year
Full-time
If you thrive on building systems where every microsecond matters, this is your role. A well-established quantitative trading firm is seeking Senior Software Engineers to architect and own…
Added 1 day ago
Forward Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
…collective investment expertise, driven by its fundamental, quantitative and alternative investing capabilities, extends globally to a wide range of clients, from financial advisors and…
Added 1 day ago
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Added 1 day ago
AI Platform Engineering Lead
Urban Ridge Supplies
Toronto, ON
Full-time
…mentoring other engineers, evaluating platforms, and advising senior leadership. It is a senior role carrying technical leadership responsibility, intended for an engineer-architect who is…
Added 1 day ago
FDE Senior Engineer, AI & Capital Markets
Urban Ridge Supplies
Mississauga, ON
Full-time
This is a senior, hands-on delivery role with the Forward Deployed Engineering team at KX: part solution engineer, part AI engineer. You work alongside quants, traders, e-trading desks and…
Added 2 days ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
As a Machine Learning Engineer, part of Zafin's AIOS Product team, you will build the machine learning and AI systems that power the AIOS Knowledge Fabric and help agents reason over…
Added 2 days ago
Forward Deployed AI Engineer
AGF Investments
Toronto, ON
Full-time
…collective investment expertise, driven by its fundamental, quantitative and alternative investing capabilities, extends globally to a wide range of clients, from financial advisors and…
Added 2 days ago
AI Platform Engineering Lead
AGF Investments
Toronto, ON
Full-time
…mentoring other engineers, evaluating platforms, and advising senior leadership. It is a senior role carrying technical leadership responsibility, intended for an engineer-architect who is…
Added 2 days ago
Applied AI Scientist
Mphasis
Canada
Full-time
We are looking for exceptional quantitative thinkers to build agentic systems that help people make better decisions.
Added 2 days ago
AI Platform Engineering Lead
AGF Management
Toronto, ON
Full-time
…mentoring other engineers, evaluating platforms, and advising senior leadership. It is a senior role carrying technical leadership responsibility, intended for an engineer-architect who is…
Added 2 days ago
Forward Deployed AI Engineer
AGF Management
Toronto, ON
Full-time
…collective investment expertise, driven by its fundamental, quantitative and alternative investing capabilities, extends globally to a wide range of clients, from financial advisors and…
Added 2 days ago
Senior Software Engineer – Java, React & AWS
Tata Consultancy Services
Toronto, ON
$100,000 to $120,000 CAD / year
Full-time
Collaborate with portfolio managers, quantitative analysts, product teams, and technology stakeholders.
Added 2 days ago
Senior Software Engineer – Java, React & AWS
Tata Consultancy Services
Toronto, ON
$100,000 to $120,000 CAD / year
Full-time
Collaborate with portfolio managers, quantitative analysts, product teams, and technology stakeholders.
Added 4 days ago
Senior Fire Engineer
Hatch
Mississauga, ON
Hatch is seeking an experienced Senior Fire Engineer to join our growing Fire Safety team. In this role, you will provide technical leadership and project delivery expertise across a…
Added 8 days ago
Management Consultant - Mining
Accenture
Calgary, AB · Vancouver, BC · Toronto, ON · Montreal, QC
Full-time
…You are equally comfortable exploring the big questions with senior leaders and working alongside teams to make change real. You listen, connect ideas across the organization, and bring…
Added 7 days ago
Ingénieur(e) de données principal(e) | Senior Data Engineer
ValPay
Montreal, QC · Saint-Laurent, QC
Full-time
As a Senior Data Engineer, you'll design, build and operate the data platform behind Valpay's analytics, reporting, product development and day-to-day operational decisions. Payments data…
Added 8 days ago
Senior Applications Developer - Assistant Vice President
Citi
Mississauga, ON
Full-time
…within Equities Technology. This role is for a hands-on Software Engineer experienced in JVM-based languages development who has strong architectural and design expertise to work on the…
Added 7 days ago
Ingénieur(e) de données principal(e) | Senior Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
Full-time
As a Senior Data Engineer, you'll design, build and operate the data platform behind Valpay's analytics, reporting, product development and day-to-day operational decisions. Payments data…
Added 8 days ago
Manager - Marketing Analytics
Enercare Inc.
Markham, ON
Full-time
Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Engineering, Marketing Analytics, or a related quantitative discipline.
Added 14 days ago
Senior Analytics Engineer, Workbench
Fulfillment IQ
Toronto, ON
$125,000 to $160,000 CAD / year
Full-time
Job Title: Senior Analytics Engineer, Workbench
Added 1 month ago
Senior Geotechnical and Geohazards Engineer
Stantec
Calgary, AB
Full-time
Reporting to the Vice President, Geohazards, Stantec is looking for a Senior Geotechnical and Geohazards Engineer with the ability to join one of our offices in Calgary, Alberta or Burnaby,…

Mphasis

Applied AI Scientist

Canada

Job type: Full-time
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

Applied AI Scientist

We are looking for exceptional quantitative thinkers to build agentic systems that help people make better decisions.

This is not primarily a conventional data science role, an LLM application-development role, or a prompt-engineering role. We are interested in people who want to understand how intelligent systems can reason over complex problems, use tools and models effectively, learn from evidence, and become systematically better over time.

What You Will Do

Design and build agentic decision-support systems that can reason over data, interact with tools and models, maintain state, decompose complex problems and support consequential human decisions.
Develop mechanisms for systematic improvement. Design evaluation frameworks, feedback loops, benchmarks, experiments and instrumentation that allow us to determine where a system fails, why it fails and whether a proposed change genuinely improves it.
Turn “make the agent better” into a quantitative problem. Define measurable objectives and failure modes; build representative test sets; analyze performance distributions rather than anecdotes; and distinguish real improvement from movement on a convenient metric.
Explore self-improving agentic architectures. This may involve reflection and critique, adaptive tool or model selection, memory, search, planning, generated training/evaluation data, policy improvement, human feedback, simulation or other mechanisms. We are interested in what works - not in allegiance to a particular architecture.
Bring statistical and machine-learning judgment to agentic systems. Use probabilistic modelling, statistical inference, ML, optimization or causal reasoning when they make the system more useful, more reliable or easier to improve.
Generate high-quality software using AI coding systems. We expect you to work AI-natively. The objective is not to demonstrate how quickly you can type Python; it is to produce excellent software.
Own difficult problems end to end. Work from an initially ambiguous business or decision problem through problem formulation, system design, implementation, evaluation and deployment.
Challenge the problem definition. A technically sophisticated solution to the wrong problem is still the wrong solution. You should be comfortable questioning assumptions and reframing what is being optimized.
Work directly with senior technical and business stakeholders. Explain complex ideas precisely without hiding behind jargon, and make uncertainty, assumptions and limitations explicit.

What We Are Looking For

Exceptional quantitative foundations

You have rigorous training in a highly quantitative discipline such as mathematics, physics, statistics, engineering, econometrics, operations research or another discipline involving substantial mathematical and quantitative reasoning.

You should be comfortable reasoning mathematically about unfamiliar problems rather than relying solely on methods you have used before.

Experience with agentic systems

You have meaningful hands-on experience designing or developing agentic systems.

We are particularly interested in experience involving some combination of:

multi-step reasoning and planning
structured outputs and stateful workflows
memory and context management
multi-agent or decomposed-agent architectures
agent evaluation
automated critique or refinement
feedback-driven adaptation
decision-support applications
mechanisms intended to improve system performance over repeated iterations.

A master's or PhD is welcome, but neither is a substitute for strong analytical thinking.

The role is product-oriented: you will shape the capabilities, workflows and evaluation systems that make our agentic products more useful, reliable and improvable.

You will turn difficult enterprise problems, user needs and client lessons into reusable product capabilities. Working with technical, product, domain and client-facing teams, you will identify high-leverage problems, formulate improvement hypotheses, and design experiments that distinguish genuine progress from superficial gains.

We expect you to move quickly from ideas to prototypes and measurable evidence without compromising reasoning, quality or technical integrity. The goal is not to build the most elaborate AI system, but products that make better decisions, whose performance we can understand, and which we know how to improve.

You do not need to be a specialist in every branch of machine learning, but you should have enough statistical maturity to reason properly about evidence.

We expect practical familiarity with statistical modelling and machine learning and, more importantly, sound instincts around:

uncertainty
validation
sampling and selection effects
overfitting
experiment design
measurement
predictive versus causal claims
distribution shift
determining whether a system actually works.

What matters is whether you can make those systems produce excellent code.

You should be capable of:

designing a coherent software architecture before or while implementation emerges;
decomposing work effectively for coding agents;
inspecting and interrogating unfamiliar generated code;
identifying bad abstractions, subtle bugs and unnecessary complexity;
designing meaningful tests rather than merely achieving test coverage;
maintaining reproducible environments;
understanding APIs, data pipelines and production system boundaries;
debugging systems whose implementation you did not personally type; and
leaving behind code that another strong engineer can understand, extend and trust.

You are accountable for every line you ship even if you personally typed none of them.

Apply About employer

More about this job

Responsibilities

Design, build, and deploy agentic decision-support systems that reason over data, use tools and models, and support consequential decisions. Develop quantitative evaluation and feedback mechanisms to measure system performance, identify failures, and improve products through experiments and evidence.

Requirements

Candidates should have rigorous quantitative training and meaningful hands-on experience designing or developing agentic systems. They should demonstrate statistical and machine-learning judgment, strong software architecture and debugging skills, and the ability to own ambiguous problems through implementation, evaluation, and deployment.

Skills

Agentic Systems
Quantitative Reasoning
Statistical Modeling
Machine Learning
Probabilistic Modeling
Statistical Inference
Optimization
Causal Reasoning
System Evaluation
Experiment Design
Software Architecture
AI-Assisted Coding
Planning
Memory and Context Management
Data Analysis
Production Systems

Visa sponsorship

Not detected in the job text

Keywords

Agentic Systems
Decision-Support Systems
Multi-Step Reasoning
Planning
Structured Outputs
Stateful Workflows
Memory Management
Context Management
Multi-Agent Architectures
Agent Evaluation
Automated Critique
Feedback Loops
Adaptive Tool Selection
Model Selection
Probabilistic Modeling
Statistical Inference
Machine Learning
Optimization
Causal Reasoning
Experiment Design
Benchmarks
Performance Measurement
Distribution Shift
Software Architecture
AI Coding Systems
APIs
Data Pipelines
Production Systems
Reproducible Environments
Enterprise Products

Report this job