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Added 11 days ago
Senior Product Analyst, Consumer Analytics (f/m/x)
HelloFresh
Toronto, ON
Advanced Python programming skills for data analysis, automation, and building analytical tools (pandas, numpy, etc.).
Added 11 days ago
SC
Principal Data Engineer
Sleep Country
Brampton, ON
- Full-time
Strong proficiency in Python and modern data-engineering frameworks.
Added 11 days ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
Work with leadership and data owners to improve definitions, consistency, and measurement frameworks.
Added 11 days ago
ET
AI Architect
Envision Technology Solutions
Canada
- Contract
Provide hands-on technical leadership in Python, including proficiency with ML, GenAI, and LLM frameworks (TensorFlow, PyTorch, HuggingFace, LangChain, etc.).
Added 11 days ago
AS
Quality Engineer (QE) / SDET – AI Chatbot Validation
Ardent SoftSol Inc.
Brampton, ON
- $38 to $40 CAD / hour
- Contract
Design, develop, and maintain scalable test automation frameworks using Java, Python, or Groovy.
Added 12 days ago
Data Analyst
GFT Technologies SE
Toronto, ON
Knowledge of Python for data analysis and automation.
Added 12 days ago
W
Data & AI Engineer
Wiraa
Canada
- $67,120 to $100,680 CAD / year
- Full-time
…these pipelines. The position requires hands-on experience with Spark (Python and Scala), Dask, and Python-based automation tools like Argo. Additionally, the engineer will develop data…
Added 12 days ago
AT
Senior DevSecOps Engineer
Aarorn Technologies Inc
Toronto, ON
- $50 CAD / hour
- Contract
Familiarity with security and compliance frameworks such as PCI DSS, SOC 2, ISO 27001, and CIS.
Added 12 days ago
N
Software Developer Co-Op
Nutanix
Vancouver, BC
- $30 to $35 CAD / hour
- Volunteer
Cloud-native technologies, distributed systems, and automation frameworks
Added 12 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Familiarity with Infrastructure as Code, deployment automation, monitoring, and logging is an asset.
Added 12 days ago
A
Test/Lab Engineer
Actalent
Waterloo, ON
- $33 to $38 CAD / hour
- Contract
Interface with development and test teams to understand lab, hardware, and automation requirements.
Added 12 days ago
A
Senior Software Development Engineer in Test (Kubernetes)
Akamai
Canada
- $102,500 to $184,500 CAD / year
Demonstrate expertise building test frameworks using Python/Pytest.
Added 12 days ago
TU
Programmer Analyst II
The University of British Columbia
Vancouver, BC
- $8,810.92 to $13,202.5 CAD / month
- Full-time
…complex or campus wide computer systems within the Enterprise Automation and Solution Delivery (EASD) portfolio. The incumbent will work collaboratively with the Senior Programmer…
Added 12 days ago
P
Senior Analyst, Marketing Science
PHD
Toronto, ON
- Full-time
…Offering. We Work To Connect The Media We Plan And Execute With Our Client’s Business Outcomes. Establishing That Relationship Requires Data-focused Capabilities Across 3…
Added 12 days ago
TU
Programmer Analyst II
The University of British Columbia
Vancouver, BC
- $8,810.92 to $13,202.5 CAD / month
- Full-time
…complex or campus wide computer systems within the Enterprise Automation and Solution Delivery (EASD) portfolio. The incumbent will work collaboratively with the Senior Programmer…
Added 12 days ago
RI
Senior Forward Deployed Engineer - Java/ Python | Capital Markets
Rose International
Mississauga, ON
- Full-time
Experience with event-driven architectures and scripting or automation that combines Java and Python within the same delivery pipeline.
Added 12 days ago
FC
Senior DevSecOps Engineer
Fintel Connect
Vancouver, BC
- Full-time
Familiarity with Python, JavaScript/TypeScript, and modern web frameworks such as React.js is an asset.
Added 12 days ago
B
Sr. Applied AI Scientist – Generative AI & Agentic Systems
BMO
Toronto, ON · FCP
- Full-time
Develop scalable software solutions, AI tools, and automation capabilities using modern AI frameworks and cloud technologies.
Added 12 days ago
RI
IOS mobile testing
Raas Infotek
Vancouver, BC
- Contract
Mandatory skills : Strong experience with Automation/SDET, iOS testing using Xcode, XCUI, python or java coding
Added 12 days ago
X
Senior Accountant
Xanadu
Toronto, ON
- Full-time
Familiarity with public company reporting and SOX compliance frameworks
Added 12 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Familiarity with Infrastructure as Code, deployment automation, monitoring, and logging is an asset.
Added 12 days ago
Intern, Security Analyst - Winter Semester 2027
AlayaCare
Montreal, QC
With 550+ employees across Canada, the US, Australia, and Brazil, we’re united by a shared mission and a strong culture of transparency, growth, and human connection. Whether you're early…
Added 12 days ago
C
AI Architect-Governance & Delivery Lead
CGI
Toronto, ON
- Full-time
…and effectively across the software development lifecycle, with a focus on production delivery value rather than theoretical…
Added 12 days ago
UO
Programmer Analyst II
University of British Columbia
Vancouver, BC · UBCV | The Leonard S. Klinck Building (LSK)
- $8,810.92 to $13,202.5 CAD / month
- Full-time
…complex or campus wide computer systems within the Enterprise Automation and Solution Delivery (EASD) portfolio. The incumbent will work collaboratively with the Senior Programmer…
Added 12 days ago
UO
Programmer Analyst II
University of British Columbia
Vancouver, BC · UBCV | The Leonard S. Klinck Building (LSK)
- $8,810.92 to $13,202.5 CAD / month
- Full-time
…complex or campus wide computer systems within the Enterprise Automation and Solution Delivery (EASD) portfolio. The incumbent will work collaboratively with the Senior Programmer…

BMO

Sr. Applied AI Scientist – Generative AI & Agentic Systems

Toronto, ON, Canada
FCP, Canada

$80,000.00 - $175,000.00 · Full-time

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Job details

Pay: $80,000.00 - $175,000.00
Job type: Full-time
Apply by: Nov 30, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

Application Deadline:

11/29/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

About the Role

We are seeking a highly motivated Sr. Applied AI Scientist with deep industry experience in Artificial Intelligence, Generative AI, and modern software engineering. This role offers an opportunity to lead the design, development, evaluation, and validation of enterprise AI solutions while helping shape industry-leading practices for the governance of Generative AI and Agentic AI systems in a highly regulated environment.

The successful candidate will join the Model Risk Management group and report to the Director, Generative and Agentic AI Model Validation.

This position is well suited for an experienced AI professional who combines strong technical depth, hands-on delivery experience, sound judgment, and the ability to lead complex AI initiatives from concept through implementation and validation.

Key Responsibilities

Lead the validation of Generative AI models and Agentic AI systems across multiple dimensions, including conceptual soundness, output quality, agentic workflow, robustness, and alignment with governance and audit requirements.
Lead research and development of new methodologies, testing approaches, and standards for validating emerging Generative AI technologies.
Architect, design, and build enterprise AI applications that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow automation to improve business processes.
Develop scalable software solutions, AI tools, and automation capabilities using modern AI frameworks and cloud technologies.
Partner with business, technology, risk, and governance stakeholders to define complex problems and translate them into practical, scalable AI solutions.
Design, execute, review, and document quantitative testing and evaluation of AI models and applications, and provide technical guidance to project teams.
Maintain organized project documentation, technical specifications, testing evidence, and validation artifacts to support governance and audit readiness.
Continuously evaluate emerging AI technologies and identify opportunities to improve existing solutions and validation approaches.

Required Qualifications

· Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or another relevant STEM discipline.

· Minimum five years of industry experience in Artificial Intelligence and Machine Learning, including hands-on experience delivering Generative AI solutions in a production or enterprise environment.

· PhD in a relevant discipline is an asset.

· Strong programming skills with the ability to develop scalable, well-structured applications.

· Familiarity with modern software development practices, including Git, version control, testing, and code reviews.

· Understanding of machine learning fundamentals and experience applying quantitative analysis techniques.

· Demonstrated hands-on industry experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or related technologies.

· Hands-on experience with cloud AI platforms, modern AI development frameworks, or enterprise AI tools is strongly preferred.

· Ability to learn new technologies quickly and adapt to a rapidly evolving AI landscape.

· Strong analytical thinking, curiosity, and problem-solving skills.

· Self-motivated with a strong sense of ownership, attention to detail, and a risk and control mindset.

· Inquisitive by nature, willing to challenge assumptions, ask thoughtful questions, and continuously improve existing processes.

Who You Are

We're looking for someone who:

Applies research and critical thinking to unfamiliar problems, evaluating alternatives and developing well-reasoned solutions.
Sees beyond the obvious, identifying hidden issues, assumptions, dependencies, and risks that others may overlook.
Balances analytical depth with practical judgment, focusing effort where it matters most.
Turns ideas into results, rapidly translating research and technical concepts into working solutions and tangible deliverables.
Demonstrates advanced coding and technical problem-solving skills in production or enterprise environments.
Demonstrates deep and current AI expertise, with strong command of emerging technologies, industry developments, and evolving technical terminology.

Salary:

$80,000.00 - $175,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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More about this job

Responsibilities

The role involves leading the validation of Generative AI and Agentic AI models to ensure conceptual soundness, robustness, and alignment with governance standards. Additionally, the scientist will architect and build enterprise AI applications using LLMs and RAG to improve business processes.

Requirements

Candidates must hold a Master's degree in a STEM discipline and possess at least five years of industry experience in AI and Machine Learning. Strong programming skills and hands-on experience with Generative AI, LLMs, and cloud AI platforms are required.

Skills

Artificial Intelligence
Generative AI
Large Language Models
Retrieval-Augmented Generation
AI Agents
Model Validation
Software Engineering
Python
Cloud Computing
Risk Management
Data Science
Machine Learning
Workflow Automation
Quantitative Analysis
Governance
Audit Readiness

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Generative AI
Agentic Systems
Large Language Models
RAG
Model Risk Management
Software Engineering
Cloud Technologies
Governance
Audit
Machine Learning
Data Science
Workflow Automation
Quantitative Testing
STEM
Git
Version Control
Enterprise AI
Risk and Control
Technical Documentation

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