1

Python Artificial Intelligence Jobs in Toronto, ON

Our client, a Canadian provider of structural steel, is looking for a Python CNC Machine Operator ... AI (Artificial Intelligence) tools may be used at certain points of the pre-screening and selection ...

Python * Java * Node.js * Solid understanding of software development principles and best practices ... Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI ...

Python Full Stack Developer

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

... Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering ... Python (Django, REST APIs, ORM). * Celery (async task queues, beat scheduling, workers)

We're seeking a passionate and highly skilled senior Python developer to join our talented team of ... artificial intelligence, for our legitimate business interests (or our reasonable and appropriate ...

Senior Data Engineer - Python

Mississauga, ON · On-site

CA$120K - CA$170K/yr

Build reusable Python libraries, frameworks, and automation utilities to support data engineering ... artificial intelligence, for our legitimate business interests (or our reasonable and appropriate ...

Senior Data Engineer - Python

Mississauga, ON · On-site

CA$120K - CA$170K/yr

Build reusable Python libraries, frameworks, and automation utilities to support data engineering ... artificial intelligence, for our legitimate business interests (or our reasonable and appropriate ...

Machine Learning Engineer

Toronto, ON · Remote

CA$110K - CA$130K/yr

Strong background in machine learning and artificial intelligence with expertise in deep learning and computer vision * Mastery in Python development with Unix/Linux. You strive for clean, correct ...

... that incorporate artificial intelligence and machine learning capabilities. The successful ... Qualifications Experience in software development with Python and/or another modern programming ...

next page

Showing results 1-20

Python Artificial Intelligence information

See Toronto, ON salary details

$27.2K

$123.2K

$205.7K

How much do python artificial intelligence jobs pay per year?

As of Sep 10, 2026, the average yearly pay for python artificial intelligence in Toronto, ON is $123,164.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,890.00 and $153,648.00 per year, depending on experience, location, and employer.

What is a Python artificial intelligence specialist?

A Python Artificial Intelligence (AI) specialist is a professional who uses the Python programming language to design, develop, and implement AI systems and solutions. Their work often includes building machine learning models, natural language processing applications, and neural networks using popular Python libraries such as TensorFlow, PyTorch, and scikit-learn. They play a critical role in analyzing data, automating tasks, and creating intelligent software that can learn and adapt over time. These specialists are in demand across industries like healthcare, finance, and technology, where AI-driven insights and automation are valuable.

What are the key skills and qualifications needed to thrive as a Python artificial intelligence engineer, and why are they important?

To excel as a Python Artificial Intelligence Engineer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or computer science. Familiarity with libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Critical thinking, problem-solving abilities, and effective communication skills help you interpret data, design solutions, and collaborate with cross-functional teams. These skills are crucial for developing robust AI models, efficiently handling complex data, and delivering impactful technological solutions.

What are some common challenges faced by Python artificial intelligence developers when working on production-level AI systems?

Python Artificial Intelligence developers often encounter challenges such as ensuring code scalability, optimizing model performance, and handling large datasets efficiently. Integrating AI models into existing production systems can also be complex, especially when coordinating with DevOps and software engineering teams to maintain reliability and uptime. Additionally, staying updated with rapidly evolving libraries and frameworks, and balancing experimentation with project deadlines, are typical hurdles. Collaborating closely with data scientists, product managers, and engineers is essential for overcoming these challenges and delivering robust AI solutions.

What is the difference between Python Artificial Intelligence vs Data Scientist?

AspectPython Artificial IntelligenceData Scientist
Required CredentialsProficiency in Python, AI frameworks, machine learning certificationsDegree in Data Science, Statistics, or related fields; Python skills often required
Work EnvironmentTech companies, research labs, AI startupsBusiness analytics, finance, healthcare, tech firms
Employer & Industry UsageDeveloping AI models, automation, machine learning applicationsData analysis, predictive modeling, data visualization
Search & Comparison IntentFocus on AI development using PythonFocus on data analysis and insights

Python Artificial Intelligence specialists focus on developing AI models and automation using Python, often working in tech and research environments. Data Scientists analyze data to extract insights, frequently utilizing Python as a tool. While both roles require Python skills, AI roles emphasize machine learning and AI frameworks, whereas Data Scientists focus on data analysis and visualization.

Infographic showing various Python Artificial Intelligence job openings in Toronto, ON as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,164 per year, or $59.2 per hour.

Artificial Intelligence & Data Architect

Toronto, ON • On-site

BMO Capital Markets
1 - 5K employees

CA$94K - CA$176K/yr

Full-time

Medical, Life, Retirement

Re-posted 28 days ago


Job description

Application Deadline:

09/29/2026

Address:

100 King Street West

Job Family Group:

Technology

Please note this is a hands-on Architect role; hands on coding experience is a must. Hybrid (2 days/week working in office downtown Toronto).

MUST HAVE: Architecture experience, AWS Cloud, production-grade Artificial Intelligence experience, Hands-on experience coding, SDLC, Data Architecture.

Contributes to AI Adoption and Enterprise Architecture from an AI and Data architecture perspective, while bringing their hands on Engineering skills to align business needs with technologies. Partners with internal stakeholders to define the technology capabilities, principles, standards, and guidelines regarding AI including machine learning and data architecture. Provide expert advice regarding AI and Data architecture in critical programs and initiatives. Validates solution architecture for adherence to defined policies, standards and guidelines including regulatory directives. Partners with broader internal stakeholders to define architectural possibilities and futures. Works with business and development teams to recommend processes or system design enhancements. Ensures that systems are functionally appropriate, technically sound, and well-integrated.

  • Lead the design of end-to-end AI solution reference architectures, integrating data architecture components such as data pipelines, model training, deployment, and monitoring.
  • Apply innovative AI, data, and analytics technologies to enterprise platforms, aligning technical solutions with complex business and IT requirements.
  • Develop and maintain the technical roadmap for enterprise platform capabilities to realize the organization's AI and data vision.
  • Support initiatives related to data acquisition, processing, and utilization through the enterprise AI and data platform.
  • Define infrastructure requirements for AI systems; evaluate and select tools, platforms, and frameworks to ensure scalability, performance, and security.
  • Serve as a technical thought leader in AI, machine learning, and data architecture, recognized for deep architectural expertise.
  • Provide strategic advice and guidance to business units on the implementation of AI and data solutions.
  • Ensure project deliverables align with target state architecture and challenge architectural decisions where necessary to uphold governance standards.
  • Identify opportunities to enhance data architecture across diverse and complex business functions and processes.
  • Build and maintain strong relationships with internal stakeholders across enterprise, technology, and business groups to ensure adherence to architecture standards.
  • Monitor industry trends and emerging technologies to inform strategic decisions and recommend relevant innovations.
  • Conduct research and proof-of-concept initiatives to evaluate emerging technologies and recommend their application.
  • Perform additional responsibilities as required to support enterprise goals.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering.
  • 10+ years of combined experience in software development, data engineering, architecture and Artificial Intelligence.
  • 5 years experience as a Data Architect
  • 2+ years experience delivering AI Architectures in production
  • 3 years experience specific to AWS Cloud
  • Hands on current capability to code (at least with Python)
  • Production-grade experience with AI solutions
  • Experience with GenAI, LLMs, or reinforcement learning in production environments and AI solution delivery.
  • Proven experience architecting and deploying AI/ML solutions
  • Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch), cloud platforms (e.g., Azure, AWS, GCP), and MLOps tools. Preferred certifications in cloud architecture or AI/ML.
  • Proficiency in Python, SQL, and other relevant programming languages.
  • Familiarity with APIs, and microservices.
  • Experience with implementing disruptive technologies in an organization;
  • Experience with Complex & high volume cloud implementations;
  • Possesses knowledge in financial industry business knowledge as well as knowledge of major data consumption use cases in financial services.
  • Exhibits knowledge of data architecture concepts and practices.
  • Demonstrates knowledge of architecture frameworks, methodologies, and tools.

Salary:

$94,600.00 - $176,000.00

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.