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Agent Based Modeling Jobs in Quebec (NOW HIRING)

Tecsys Inc.

Senior Developer (AI / ML)

Montreal, QC · On-site +1

... agent-based systems) Familiarity with LLM orchestration frameworks (e.g., LangChain, LangGraph) and vector databases Experience with MLOps practices, including model/version management, evaluation ...

KPMG

Cloud Solution Architect, Tax

Quebec, QC

Experience with AI agents, including designing, implementing, and optimizing agent-based solutions to support automation, decision-making, and business process improvement * Knowledge of Model ...

KPMG

Cloud Solution Architect, Tax

Brossard, QC

Experience with AI agents, including designing, implementing, and optimizing agent-based solutions to support automation, decision-making, and business process improvement * Knowledge of Model ...

KPMG

Experience with AI agents, including designing, implementing, and optimizing agent-based solutions to support automation, decision-making, and business process improvement * Knowledge of Model ...

KPMG

Cloud Solution Architect, Tax

Boisbriand, QC

Experience with AI agents, including designing, implementing, and optimizing agent-based solutions to support automation, decision-making, and business process improvement * Knowledge of Model ...

KPMG

Cloud Solution Architect, Tax

Joliette, QC

Experience with AI agents, including designing, implementing, and optimizing agent-based solutions to support automation, decision-making, and business process improvement * Knowledge of Model ...

KPMG

Cloud Solution Architect, Tax

Terrebonne, QC

Experience with AI agents, including designing, implementing, and optimizing agent-based solutions to support automation, decision-making, and business process improvement * Knowledge of Model ...

KPMG

Cloud Solution Architect, Tax

Montreal, QC

Experience with AI agents, including designing, implementing, and optimizing agent-based solutions to support automation, decision-making, and business process improvement * Knowledge of Model ...

AlayaCare

AI Workflow Transformation Lead

Montreal, QC · On-site

Comfortable designing and iterating prompts, workflows, and agent-based solutions. * Strong ... Location and Work Model This role is based in Montreal. At AlayaCare, our hybrid model includes 2 ...

Intact Financial Corporation

Agent de Liaison

Dorval, QC · 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 ...

Intact Financial

Agent de Liaison

Dorval, QC · 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 ...

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All JobsAgent Based Modeling JobsAgent Based Modeling Jobs in Quebec

Agent Based Modeling information

See Quebec salary details

$20K

$76.1K

$174K

How much do agent based modeling jobs pay per year?

As of Jun 21, 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 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 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 job makes $10,000 a month without a degree?

Agent-based modeling is a specialized field often used in research, simulation, and data analysis, but it typically requires advanced education or training. Jobs that can pay $10,000 a month without a degree include roles like real estate investors, successful entrepreneurs, or skilled trades such as certain sales positions or tech freelance work, which rely more on experience, skills, and performance than formal education.

What does agent-based modeling mean?

Agent-based modeling is a computational approach used in agent-based modeling jobs to simulate interactions of autonomous agents within a system. It involves creating models where individual entities follow rules, allowing analysis of complex behaviors and emergent phenomena. Skills in programming, such as Python or NetLogo, are often required for developing and analyzing these models.

What is an Agent-Based Modeling job?

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 jobs in the US pay 300,000 a year?

Agent-based modeling is a specialized field often found in roles such as data scientists, quantitative analysts, or research scientists, particularly in industries like finance, technology, or government research. These positions typically require advanced skills in programming, statistical analysis, and simulation tools, and salaries can reach or exceed $300,000 for senior or highly experienced professionals in high-demand sectors. Compensation depends on experience, location, and the complexity of the role.

What's the highest paying modeling job?

In agent-based modeling, high-paying roles are typically found in senior research positions, data science leadership, or consulting roles in industries like finance, defense, or technology. These positions often require advanced skills in programming, simulation tools, and a strong understanding of complex systems, with salaries reaching six figures or more depending on experience and location.
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:
What job categories do people searching Agent Based Modeling jobs in Quebec look for? The top searched job categories for Agent Based Modeling jobs in Quebec are:
Agent Based Modeling jobs near you
AI Platform Engineer

AI Platform Engineer

Open Systems Technologies

Montreal, QC

Full-time

Posted 8 days ago

Job description


What you’ll do in the role:

  • Design and build a firmwide AI development and evaluation platform with a strong focus on enterprise-scale GenAI benchmarking, assurance, and governance.
  • Develop self-service tooling, SDKs, and APIs to enable teams to build, evaluate, and deploy GenAI applications efficiently and safely.
  • Build reusable, scalable platform components for GenAI and agentic systems, including orchestration, evaluation pipelines, and model lifecycle workflows.
  • Lead the implementation of container-native GenAI workloads on Kubernetes / OpenShift using GitOps-driven deployment patterns.
  • Integrate and operate GenAI ecosystem components including LLMs, vector databases, embeddings, and agent frameworks.
  • Drive key architecture, product, and design decisions across security, authentication, observability, scalability, and reliability.
  • Establish platform best practices for GenAI evaluations, agentic systems, ModelOps / LLMOps, and production operations.
  • Collaborate closely with engineers, data scientists, security, and product teams to accelerate safe enterprise adoption of GenAI.

What you’ll bring to the role:

  • 6+ years of strong hands-on software engineering experience, preferably in Python (FastAPI, Flask), building large-scale, cloud-native platforms.
  • Deep experience designing and operating Kubernetes / OpenShift workloads using Helm, Customize, container registries, and GitOps practices.
  • Hands-on experience building GenAI and LLM-based applications, including agentic orchestration, embeddings, evaluation workflows, and fine-tuning.
  • Strong understanding of microservices, RESTful API design, asynchronous and concurrent programming, and performance-oriented systems.
  • Solid foundation in data engineering principles including SQL/NoSQL stores, Kafka, Redis, vector databases, and state management at scale.
  • Proficiency in DevOps, CI/CD, observability (OpenTelemetry, Prometheus, Grafana), and SRE-inspired operational practices.
  • Strong working knowledge of security-first design, OAuth2, secure coding practices, and enterprise-grade platform controls.
  • Experience with agent-based frameworks or orchestration systems
  • Exposure to LLMOps / ModelOps / evaluation platforms
  • Experience working in enterprise-scale platforms or internal developer platforms


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