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Senior AI Scientist
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Bioinformatics Specialist
University of British Columbia
Vancouver, BC · PHSA | BC Children's Hospital Research Institute - North Block (BCRI CMMT) (BCHRIN)
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DevOps Engineer
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Vancouver, BC · Greater Vancouver Metropolitan Area
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CIBC

Senior AI Scientist

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 7, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you'll be doing

The Enterprise Advanced Analytics and Artificial Intelligence team is CIBC’s center of excellence for artificial intelligence, machine learning, and natural language processing. We lead the design, build, and deployment of practical AI solutions, taking ideas from early prototypes to scalable, production-ready capabilities used across the bank. As a Senior AI Scientist, you'll apply your expertise in advanced modelling to solve complex business problems and develop innovative solutions that deliver measurable value. You'll work with structured and unstructured data to create end-to-end solutions, from experimentation through deployment and adoption. You’ll collaborate with partners across product, technology, marketing, channels, risk, and Capital Markets to bring leading AI practices into real business applications.

At CIBC we enable the work environment most optimal for you to thrive in your role. You'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 1-3 days per week on-site, while other days will be remote.

How you'll succeed

Applied AI and Generative AI Expertise - Build AI solutions and tools using machine learning, natural language processing, Generative AI, statistics, and optimization. Take a pragmatic, outcome-focused approach that balances experimentation, research, and delivery.
Solution Development - Design and develop reusable tools, application programming interfaces (APIs), and accelerators that can be adopted by teams across the bank. Use AI-assisted development tools, such as GitHub Copilot, to improve productivity, code quality, and speed to delivery.
Business Partnership - Work closely with business partners to understand needs, opportunities, and pain points. Translate data into meaningful insights that support decision-making and help establish you as a trusted analytics partner.
Continuous Improvement - Strengthen AI and machine learning techniques and approaches by collaborating with data experts, engineering relevant features, and contributing to the development of scalable data products.
Technical Leadership - Partner effectively with data scientists and engineers to deliver high-quality solutions. Mentor junior team members and provide technical guidance to support team growth and innovation.

Who you are

You can demonstrate experience in designing, building, and delivering end-to-end ML, NLP, and Generative AI solutions that move from proof of concept to production and generate measurable business value. This includes building LLM applications using prompt engineering, RAG, and agentic workflows, and working with frameworks such as LangChain, LangGraph, or Microsoft Agent Framework. You have applied tool calling, memory, evaluation, and guardrails to support secure and reliable use in regulated environments. You also bring hands-on experience with Python, SQL, Spark, APIs, automated testing, Git-based workflows, Azure, Databricks, Azure DevOps, and GitHub Actions in production environments. It's an asset if you have experience with Docker, Kubernetes, and MLOps/LLMOps practices, particularly in financial services or other highly regulated sectors.
You give meaning to data. You have strong knowledge of machine learning algorithms, statistical methods, and model evaluation techniques. You use sound judgment to interpret patterns, validate results, and measure performance in a business context.
You're motivated by collective success. You know that teamwork can transform a good idea into a great one. You build strong relationships, value diverse perspectives, and contribute to an inclusive team environment.
You live your values. You bring high standards, genuine care to your relationships, and want to grow with an employer that shares your values and brings out your best.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com
CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Advanced Analytics, Business Insights, Data Analysis, Data Science

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More about this job

Responsibilities

You will design, build, and deploy scalable AI and machine learning solutions to solve complex business problems across the bank. You will also collaborate with cross-functional partners to translate data into actionable insights and mentor junior team members.

Requirements

Candidates must have proven experience delivering end-to-end ML, NLP, and Generative AI solutions from prototype to production. Proficiency in Python, SQL, Spark, and cloud-based AI frameworks is required, along with strong statistical and analytical skills.

Skills

Artificial Intelligence
Machine Learning
Natural Language Processing
Generative AI
Python
SQL
Spark
Azure
Databricks
LLM Applications
Prompt Engineering
RAG
Agentic Workflows
MLOps
Statistical Methods
Data Analysis

Benefits

Competitive salary
Incentive pay
Banking benefits
Benefits program
Defined benefit pension plan
Employee share purchase plan
Vacation offering
Wellbeing support
MomentMakers recognition program
Purpose Day

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Natural Language Processing
Generative AI
Python
SQL
Spark
Azure
Databricks
LLM
Prompt Engineering
RAG
LangChain
LangGraph
Microsoft Agent Framework
MLOps
LLMOps
Docker
Kubernetes
GitHub Copilot
Azure DevOps
GitHub Actions
API
Data Science
Advanced Analytics
Statistical Methods
Financial Services
Capital Markets
Git
Automated Testing

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