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Agent Based Modeling Jobs in Quebec (NOW HIRING)

... agent architectures. * Experience contributing to reusable AI platforms, foundation model ... positions based in the Quebec. AI Usage in the Recruitment Process For information on the ...

... models. Our teams work across business lines and geographies to build scalable, innovative ... Azure-based platform. A key responsibility is to drive the evolution from the Volcker Metrics ...

You must act as a change agent in fostering a culture of "Zero Accidents by Choice." This position contributes to ABB Canada's ELIP division and is based in Bromont. The work model is 100% on-site

Flexible work arrangements and a hybrid work model * Possibility to purchase up to 5 extra days off ... The salary range presented above is based on a 35-hour workweek and would represent a majority of ...

Flexible work arrangements and a hybrid work model * Possibility to purchase up to 5 extra days off ... The salary range presented above is based on a 35-hour workweek and would represent a majority of ...

Support your various internal clients and act as an agent of change in Lean strategies. * Provide ... Lead kaizen workshops that aim to optimize plant efficiency and the introduction of new models.

Flexible work arrangements and a hybrid work model * Possibility to purchase up to 5 extra days off ... The salary range presented above is based on a 35-hour workweek and would represent a majority of ...

Senior Architect - Salesforce

Quebec, QC ยท Hybrid

CA$120K - CA$160K/yr

... automation, agent assistance, and conversational experiences integrated with the Salesforce ... models, OAuth, and SSO and strong Salesforce DevOps fluency, including Git-based source-driven ...

Contribute to system design, low-level design, API design, and data modeling for mobile features ... Starting pay for this role will vary based on multiple factors, including location, available ...

LLM-based systems (RAG, MCP, Agent workflows, fine-tuned models) * Experience with MCP or similar standardized patterns for connecting models to tools and context * Experience with deploying and ...

Showing results 41-60

Agent Based Modeling information

See Quebec salary details

$20K

$76.1K

$174K

How much do agent based modeling jobs pay per year?

As of Sep 7, 2026, the average yearly pay for agent based modeling in Quebec is $76,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is an agent based modeling?

An Agent-Based Modeling (ABM) job involves developing and implementing simulations that model the interactions of autonomous agents within a system. These roles are common in fields like economics, epidemiology, traffic modeling, and artificial intelligence. Professionals in this role use programming and mathematical models to analyze complex systems and predict emergent behaviors. Key skills typically include coding (Python, NetLogo, or AnyLogic), data analysis, and knowledge of computational modeling techniques.

What are some typical challenges faced in an agent based modeling position?

A common challenge in Agent Based Modeling is accurately representing complex, real-world systems with diverse and dynamic agents while balancing computational resources and model simplicity. Professionals in this role often need to validate and calibrate their models with limited or imperfect data, requiring both technical skill and creativity. Additionally, effectively communicating modeling results to non-technical stakeholders and integrating feedback into iterations is a key part of the job. Overcoming these challenges provides rewarding opportunities to contribute to innovative solutions across areas like finance, healthcare, logistics, or social sciences.

What are the key skills and qualifications needed to thrive in the agent based modeling position, and why are they important?

To thrive in an Agent Based Modeling role, a strong background in computational modeling, mathematics, and systems analysis is typically required, often supported by a degree in computer science, engineering, or a related field. Proficiency with simulation tools such as NetLogo, AnyLogic, or Repast, as well as programming languages like Python or Java, is highly valuable. Effective communication, critical thinking, and strong collaboration skills help professionals explain complex models to stakeholders and work within multidisciplinary teams. These qualities are crucial for accurately simulating real-world systems, delivering actionable insights, and driving informed decision-making in various industries.

What are popular job titles related to Agent Based Modeling jobs in Quebec?

For Agent Based Modeling jobs in Quebec, the most frequently searched job titles are:

Infographic showing various Agent Based Modeling job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, and 6% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $76,080 per year, or $36.6 per hour.

Senior Applied AI Engineer

PSP Investments

Montreal, QC โ€ข On-site, Remote

Full-time

Retirement, PTO

Re-posted 9 days ago


Key responsibilities

  • Design and build the core of Floyd's agentic system, including prompting, tool use, data retrieval, and multi-model orchestration

  • Collaborate with Data Engineers to develop ML and AI-serving pipelines on Databricks

  • Keep Floyd production-grade by ensuring reliability, latency, cost-efficiency, and security standards


Job description

ABOUT US

We're one of Canada's largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.


We invest funds for thepension plans of thefederalpublicservice, the Canadian Forces, theRoyal Canadian Mounted Police andthe ReserveForce. Headquartered in Ottawa, PSP Investments has its principal business office in Montreal and offices in New York, London and Hong Kong.


Capturing and leading complex global investments requires us to work as one to seize valuable opportunities, in close collaboration with some of the world's top companies. At PSP Investments, you'll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.


ABOUT YOUR ROLE

Floyd is PSP's in-house AI platform - a custom analyst built for our investment teams. It pairs a conversational assistant with purpose-built workflows that turn complex research questions into structured, decision-ready output. Under the hood, Floyd is an agentic system that orchestrates the latest frontier models through the OpenAI, Google (Gemini) and Anthropic (Claude) APIs, routing each task to the right model and breaking big problems into smaller ones it can work through in parallel. It's already changing how investment professionals work day-to-day - and it's still early, with a lot left to build.

This role puts you at the frontier of applied AI inside an institutional investor. It's hands-on and high-agency, blending AI engineering with real product sense and close partnership with the people who use what you build. You'll own problems end to end - from a vague request on the investment floor to a reliable capability running in production - with the autonomy to decide how to get there.

You will have the chance to shape a flagship AI platform at one of Canada's largest pension investment managers, with direct impact on how investment decisions are researched, with access to frontier models and proprietary data at scale, within a high-caliber, collaborative team.

As a Senior Applied AI Engineer, you'll:

  • Design and build the core of Floyd's agentic system: prompting, tool use, retrieval across unstructured and structured data, multi-model orchestration and evaluation

  • Collaborate with our Data Engineers to build the ML and AI-serving pipelines behind Floyd on Databricks - our primary platform for data engineering, data science and AI serving

  • Develop across the stack: the Floyd Python SDK and its Gradio- and React-based front ends

  • Keep Floyd production-grade - reliability, latency, cost and monitoring - within the security and data-governance standards of a financial institution

  • Lean on AI coding agents (Claude Code, Codex) to move fast from prototype to production and help the team get more out of them

  • Advise/Partner closely with investment professionals to build trust, drive adoption, and feed what you learn back into the product

WHAT YOU'LL NEED

We're looking for a senior engineer who has shipped real AI products and likes working close to the people who use them.

  • Five (5) years or more building and shipping production software and/or ML systems, ideally in hands-on, user-facing roles

  • Production experience building and deploying LLM applications at scale

  • Hands-on experience with agent frameworks, vector databases, model fine-tuning, and LLM observability and evaluation tooling

  • Expert in Python (mandatory) and strong in JavaScript/TypeScript - comfortable building both a Python SDK and a Gradio or React front end

  • Hands-on experience with Databricks for data engineering, data science and/or model serving.

  • Comfortable across cloud platforms - we run primarily on Azure (Databricks, AKS) and Google Cloud (Vertex AI)

  • Expert user of AI coding agents such as Claude Code and/or Codex

  • High agency and sound judgment in ambiguous, fast-moving environments, with a strong collaborative mindset

  • Excellent communication - you can translate between domain experts and engineers and explain complex ideas simply

  • Experience with tabular data and time-series manipulation, an asset

  • Traditional (classical) ML experience beyond LLMs, an asset

  • Experience in financial services, asset management or capital markets, or with investment-research workflows, an asset

  • MLOps and platform experience (CI/CD, containers, Kubernetes/AKS) , an asset

  • Bilingualism: English and French (frequent interactions in English with PSP employees based in our offices in Hong Kong, London and New York, and interactions in French with employees in our local offices in Montreal and Ottawa)

We offer a tailored employee experience and competitive total rewards and benefits package* designed to attract and retain global diverse talent, reward performance, and reinforce business strategies and priorities. Beyond salary and incentive pay eligibility, you have access to:

  • Investment in career development

  • Comprehensive group insurance plans

  • Competitive pension plans

  • Unlimited access to virtual healthcare services and wellness programs

  • Gender-inclusive paid family leave policy: up to 26 weeks for primary caregivers, 5 weeks for secondary caregivers

  • A personalized family-building support, from pre-pregnancy to menopause, with available financial assistance

  • Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off

  • A hybrid work model with a mix of in-office and remote days

*Benefits package may vary based on your employee type.


At PSP Investments, we aim to provide a workplace where everyone feels valued, safe, respected and empowered to grow. As part of this leadership commitment, we strongly encourage applications from all qualified applicants and strive to offer an inclusive and accessible candidate experience. If you require any accommodation for any part of the recruitment process, please let us know.

Visit us on www.investpsp.com/en/

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