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Added 2 mins ago
Pharma Tech R&D - formulation-chimie analytique-analytical chemistry
Centre d'expertise et de recherche appliquée en sciences pharmaceutiques – CERASP
Montreal, QC
Full-time
English below: Joignez-vous à notre équipe en tant que technicien en recherche et développement (formulation et procédés) - CERASP.
Added 5 mins ago
Senior Health & Safety Advisor
FCC Canada
Toronto, ON · Vancouver, BC
$95,000 to $105,000 CAD / year
Policy drafting/formulation and administration, dissemination of safety policies within crews, and subcontractors.
Added 5 mins ago
Health and Safety Coordinator
FCC Canada
Toronto, ON · Vancouver, BC
$95,000 to $105,000 CAD / year
Policy drafting/formulation and administration, dissemination of safety policies within crews, and subcontractors.
Added 20 mins ago
Discharge Planner
Halton Healthcare
Milton, ON
Full-time
Coordination, formulation/development, documentation, and implementation of care plan for hospital discharge and safe transition back to community or institutional setting.
Added 33 mins ago
Research And Development Manager
Capsule Factory Nutraceuticals
Woodstock, ON
Full-time
…responsibilities include planning and conducting research, supervising formulation trials, managing R&D projects from concept through scale-up, and collaborating with production, quality,…
Added 1 hour ago
Clinical Therapist
Kinark Child and Family Services
Barrie, ON
Full-time
Complete a comprehensive formulation and treatment plan as a foundation for treatment, integrating input from interdisciplinary team members and collateral sources.
Added 3 hours ago
Product Development Engineer|
Husky Technologies
Bolton, ON
Full-time
Participate in the formulation and/or evaluation of business cases.
Added 3 hours ago
Mechanical Designer (Fluidpower)
Husky Technologies
Bolton, ON
Full-time
Participate in the formulation and/or evaluation of business cases
Added 4 hours ago
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Toronto, ON
Full-time
Added 4 hours ago
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Toronto, ON
Full-time
Added 4 hours ago
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC
Full-time
Added 5 hours ago
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC
Full-time
Added 5 hours ago
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
Added 6 hours ago
Bilingual Customer Excellence Associate
IMCD Group
Brampton, ON
Full-time
IMCD Group, headquartered in Rotterdam, The Netherlands, is a leading global partner for the distribution and formulation of speciality chemicals and ingredients. IMCD is a strong,…
Added 6 hours ago
Senior Applied AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Contribute to the overall Wealth Management AI strategy formulation and execution
Added 9 hours ago
Product Development Engineer|
Husky Technologies
Bolton, ON
Full-time
Participate in the formulation and/or evaluation of business cases.
Added 9 hours ago
Mechanical Designer (Fluidpower)
Husky Technologies
Bolton, ON
Full-time
Participate in the formulation and/or evaluation of business cases
Added 15 hours ago
Mechanical Designer (Fluidpower)
Husky Technologies
Bolton, ON
Full-time
Participate in the formulation and/or evaluation of business cases
Added 15 hours ago
Product Development Engineer|
Husky Technologies
Bolton, ON
Full-time
Participate in the formulation and/or evaluation of business cases.
Added 21 hours ago
Mechanical Designer (Fluidpower)
Husky Technologies
Bolton, ON
Full-time
Participate in the formulation and/or evaluation of business cases
Added 21 hours ago
Product Development Engineer|
Husky Technologies
Bolton, ON
Full-time
Participate in the formulation and/or evaluation of business cases.
Added 21 hours ago
Senior Solution Architect - (Banking)
BMO
Toronto, ON · BMOPLACE
Full-time
…complex systems, including requirements discovery and analysis, formulation of solution context, identification of solution alternatives and their assessment, technology selection, and…
Added 21 hours ago
Group Lead, Data Products & Architecture – Growth & R&D
Kraft Heinz
Toronto, ON
Full-time
Oversee the design and delivery of data products across Growth (marketing, consumer insights, innovation) and R&D (product development, formulation, master data).
Added 21 hours ago
Research and Development Laboratory Technician
Protech Group
Montreal, QC
Full-time
Position Overview: The ideal candidate will be capable of carrying out formulation activities under the guidance and direction of a Senior Formulator. This role involves working in a…
Added 23 hours ago
Finance Officer
McGill University
Brown Student Serv.
Full-time
Participates in the formulation of Student Services’ long-term plan, analyzing pertinent information such as projected enrolment and Quebec FTE grant estimates; determines short- and…

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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