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Added 20 mins ago
Senior Data Engineer
National Bank of Canada
Montreal, QC
Full-time
…risk strategies team at National Bank means serving as a data analytics specialist. This position allows you to have a direct impact on transforming the organisation's analytical…
Added 36 mins ago
Digital Architect
Joblinxsapp
AB · Edmonton, AB
Full-time
8+ years as a Data Architect, Software Architect, or Senior Data Engineer working collaboratively with cross-functional teams to develop new software applications.
Added 37 mins ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects, responds…
Added 50 mins ago
Data Science Developer
Transit
Montreal, QC
$90,000 to $125,000 CAD / year
Full-time
…this sort of hybrid working arrangement before; or (2) are a senior data engineer currently yearning for the (metaphorical) white lab coat that will let you conduct lots of “data science-y”…
Added 1 hour ago
Senior Baggage Handling System Engineer
AtkinsRéalis
Toronto, ON
Full-time
AtkinsRéalis is seeking a Senior Baggage Handling System (BHS) Engineer for its Western Region. In this role, you will act as the Client's Representative in the execution of large-scale…
Added 1 hour ago
Senior Software Engineer (Java)
Mastercard
Vancouver, BC
Full-time
Senior Software Engineer (Java)Job Description Summary
Added 1 hour ago
Senior Security Operations Engineer (Talent pool building)
League Inc.
Toronto, ON
…make it easier for our engineers to do the right thing. As a Senior SecOps Engineer you will care deeply about “what goes bump in the night”. You have peers in Security Engineering who care…
Added 1 hour ago
Kafka Platform Engineer/Admin
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
We are seeking a Senior Kafka Platform Engineer to administer, maintain, and optimize enterprise Apache Kafka platforms across Development, Test, UAT, and Production environments. The role…
Added 2 hours ago
Senior / Staff ML Ops Engineer
Waabi
Toronto, ON
$184,000 to $272,000 USD / year
Full-time
The ability to influence without authority: evaluate a framework on its merits, pilot it credibly, and persuade skeptical senior engineers to change how they work.
Added 2 hours ago
R&D Engineering Intern
Stathera, Inc.
Vancouver, BC
Full-time
The R&D Engineer Intern will report directly to the Senior Systems Engineer and will be expected to work a total of 40 hours per week.
Added 2 hours ago
Digital Architect (GOAPRDJP00000987) – 5 Resources
Amyantek
Canada
Contract
8 years experience as a data architect, software architect, or senior data engineer, where the proposed resource’s focus has been collaborative work on and/or with cross-functional teams to…
Added 2 hours ago
Senior Software Engineer
Zodiac Solutions, Inc
Montreal, QC
Full-time
We are seeking a highly motivated and experienced Software Engineer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux to design, develop, and support scalable…
Added 2 hours ago
Senior Data Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
We are currently seeking a driven and collaborative Senior Data Engineer to join our forward-thinking Data and Analytics team.
Added 2 hours ago
Senior Data Platform Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
We are currently seeking a driven and collaborative Senior Data Platform Engineer to join our forward-thinking Data and Analytics team.
Added 3 hours ago
Senior Data Engineer, Risk Technology
Investment Management Corporation of Ontario (IMCO)
Toronto, ON
Full-time
As a key member of the Risk Technology team, the Senior Data Engineer will be the team’s senior hands-on Power BI developer, responsible for designing complex reports and visuals, scalable…
Added 3 hours ago
Fleet Engineer
Purolator
Montreal, QC · Calgary, AB · Richmond, BC · ON · Mississauga, ON · Saint-Laurent, Queb
Reporting to the Senior Manager, Fleet Engineering, the Fleet Engineer will help shape and deliver Purolator’s transition to a safer, smarter, and more sustainable ground fleet. Working…
Added 3 hours ago
Senior AI Engineer
Tundra Technical Solutions
Toronto, ON
$80 to $100 CAD / hour
Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 3 hours ago
Senior/Lead Azure Cloud Data Engineer
Nityo Infotech
Toronto, ON
Contract
We are seeking a highly skilled Senior/Lead Azure Cloud Data Engineer to design, develop, and optimize large-scale cloud-based data solutions on Microsoft Azure. The ideal candidate will…
Added 3 hours ago
Principal Engineer - GTB Data and Platforms
TD
Toronto, ON
Full-time
We are looking for a talented Data and Platform Engineer to join the team of Global Transaction Banking Data platform.
Added 4 hours ago
Java Software Engineer
RedCompass Labs
Toronto, ON
Full-time
Analytics and algorithms such as graph, clustering, supervised & unsupervised machine learning
Added 4 hours ago
Senior C++ Software Engineer
Catch Talent
Montreal, QC
$150,000 to $230,000 CAD / year
Full-time
…role. A well-established quantitative trading firm is seeking Senior Software Engineers to architect and own the core infrastructure that powers high-frequency trading at a global scale.…
Added 4 hours ago
Senior Azure Databricks Consultant
BURGEON IT SERVICES
Burnaby, BC
Contract
We’re seeking an intermediate-level Azure Databricks Engineer to build and optimize scalable data pipelines, manage Delta Lake-based data products, and support analytics/ML workloads.…
Added 4 hours ago
Staff AI Builder
Robots & Pencils
Canada
Full-time
…delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical…
Added 4 hours ago
Director, AI Delivery & Portfolio Management – Global Payments Technology
RBC
Toronto, ON
Full-time
Reporting to the Senior Director, Program Delivery, you will own end-to-end delivery accountability for this strategic AI portfolio while establishing AI SDLC standards that shape how RBC…
Added 5 hours ago
Principal Engineer - GTB Data and Platforms
TD
Toronto, ON
Full-time
We are looking for a talented Data and Platform Engineer to join the team of Global Transaction Banking Data platform.

Mphasis

Applied AI Scientist

Canada

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

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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.

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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

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