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Python Artificial Intelligence Jobs in Toronto, ON

... Artificial Intelligence, and Compute & Storage. * Collaborate with suppliers to get insight into ... Experience building dynamic models using Google Sheets, Excel (Apps Script, VBA, SQL or Python) and ...

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $81,600 - $115,200 CAD TD is committed ... Develop datasets, queries, and analytical assets using Python, SQL, and enterprise data platforms

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

Stay up-to-date with the latest advancements in the field of artificial intelligence, machine ... Proficient in Python programming with a focus on writing high-quality, well-structured, and tested ...

Analyst, Credit Risk Models

Toronto, ON · On-site

CA$56K - CA$84K/yr

... Python or R by leveraging statistics, machine learning and artificial intelligence, or translate complex analyses into clear recommendations for senior stakeholders. Consultants are expected to ...

Showing results 41-60

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.

Staff Engineer - Software Development, Architecture, Security & Governance

Toronto, ON • On-site

Royal Bank of Canada
Banking and Credit Intermediation • 10K+ employees

Full-time

Re-posted 27 days ago


Job description

Job Description

What is the opportunity?

We are seeking a highly skilled and experienced Staff Engineer to join our Enterprise Architecture team, leveraging their expertise in full-stack development, backend engineering, API design, and artificial intelligence to drive innovation and deliver cutting-edge solutions. As a Staff Engineer, you will have the opportunity to work and lead complex projects, collaborating with cross-functional teams to design, develop, and deploy production-grade applications that integrate AI capabilities, including RAGs and chatbots. The scope of this role is significant, as the solutions you develop will be used by all applications across the enterprise, impacting thousands of users and systems. You will play a critical role in ensuring that our organization meets regulatory requirements and maintains the trust of our customers and stakeholders.

What will you do?

  • Design, build, and maintain scalable backend services using Python, FastAPI, and MongoDB, integrating AI orchestration systems and LLMs from OpenAI, Anthropic, and other providers.

  • Develop and deploy AI-powered applications, including RAGs and chatbots, using frameworks like LangChain or similar.

  • Collaborate with AI researchers, Software Architects, DevOps engineers, and product teams to translate AI capabilities into real-world applications, fostering a culture of experimentation and continuous improvement.

  • Lead the architecture, design, and delivery of resilient, scalable systems and infrastructure that power production-grade applications, including those based on large language models.

  • Set technical direction for complex projects, owning outcomes end-to-end from inception to deployment and iterative improvement.

  • Act as a force multiplier, mentoring engineers, setting engineering best practices, and elevating the technical bar across the organization.

What do you need to succeed?

Must-have:

  • Degree in Computer Science or Engineering with a focus on software development.

  • 10+ years of software engineering experience, including at least 2 years in a Staff or equivalent senior technical leadership role.

  • Deep expertise in building and scaling distributed systems, frameworks, and internal platforms with a focus on reliability, observability, and performance.

  • Proven experience in driving complex technical initiatives across teams or domains, with strong system design skills and clear trade-off thinking.

  • High standards for code quality, system design, and software architecture, along with a track record of mentoring others to meet those standards.

  • Strong proficiency in Python and/or experience in additional languages such as NodeJS, Java, or C++.

  • Experience with AI/ML technologies, including LLMs, RAGs, and chatbots.

  • Knowledge of software design patterns and coding best practices.

  • Willingness to take on challenges and enthusiasm for learning.

  • Team centric attitude.

Nice-to-have:

  • Experience working with cloud infrastructure (AWS, Azure, or Google Cloud).

  • Familiarity with containerization (Docker) and orchestration (Kubernetes).

  • Knowledge with designing and building AI Agents.

  • Experience with MLOps pipelines and products.

  • Knowledge of data security and permissioning within AI systems.

  • Knowledge of enterprise-level security concepts and methodologies, including SSO, SSL, encryption, Apigee, authentication and entitlements

What is in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success
that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

  • Leaders who support your development through coaching and managing opportunities.

  • Ability to make a difference and lasting impact.

  • Work in a dynamic, collaborative, progressive, and high-performing team.

  • A world-class training program in financial services.

  • Opportunities to do challenging work.

#LI-POST

#TECH PJ

Job Skills

Application Development, Application Integrations, Application Maintenance, Applications Architecture, Artificial Intelligence (AI), Back-End Development, Commercial Acumen, Engineering Practices, Enterprise Application Delivery, Full Stack Development, Information Technology Management, Programming Languages, Python (Programming Language), Software Architectures, Software Design, Software Development, Software Development Life Cycle (SDLC), System Applications

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-06-16

Application Deadline:

2026-10-03

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME