1

Senior Python Ai Jobs in Toronto, ON (NOW HIRING)

Responsibilities Design, develop, and maintain scalable Python-based applications and services Lead ... AI platforms is a plus Testing & Quality Strong experience with testing frameworks (pytest ...

Responsibilities Design, develop, and maintain scalable Python-based applications and services Lead ... AI platforms is a plus Testing & Quality Strong experience with testing frameworks (pytest ...

Demonstrated comfort engaging with senior executives and Csuite stakeholders, influencing decisions ... SQL, PySpark, Python * AI & ML : Predictive Analytics, Natural Language Processing (NLP ...

As a Senior AI Engineer, you'll be working with a global team of AI and machine learning ... You will need strong python data fundamentals coupled with a software mindset for making data ...

As a Senior AI Researcher at Clariti, you'll get to : * Own computer vision and agentic AI problem ... Strong proficiency in Python and experience with PyTorch, TensorFlow, JAX, or similar deep learning ...

next page

Showing results 1-20

Senior Python Ai information

Will AI replace Python coders?

AI tools can automate certain coding tasks, but Senior Python AI developers are essential for designing, implementing, and maintaining complex AI systems. Human expertise remains crucial for problem-solving, creativity, and overseeing AI development processes. AI is more likely to augment Python programmers' work than fully replace them.

Which 3 jobs will survive AI?

Senior Python AI roles are likely to persist because they involve complex problem-solving, creativity, and oversight of AI systems. Jobs that require advanced technical skills, such as data scientists, AI engineers, and machine learning specialists, are expected to remain in demand due to their specialized knowledge and continuous learning requirements.

What are some common challenges faced by Senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI engineers or machine learning executives, often involving advanced skills in Python, deep learning, and data science. These positions usually require extensive experience, leadership abilities, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and generally found in large tech companies or AI-focused organizations with significant responsibilities.

How much do Python AI developers make?

Python AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles with advanced skills in machine learning, deep learning, and frameworks like TensorFlow or PyTorch tend to command higher salaries.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are the key skills and qualifications needed to thrive as a Senior Python AI Engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What does a Senior Python AI Engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.
What job categories do people searching Senior Python Ai jobs in Toronto, ON look for? The top searched job categories for Senior Python Ai jobs in Toronto, ON are:
Senior Python/AI Engineer

Full-time

Posted 17 days ago


Key responsibilities

  • Design and build internal tools and frameworks that accelerate data pipeline development and deployment.

  • Develop Python libraries and reusable components for data ingestion, transformation, testing, and monitoring.

  • Build interactive developer tools and dashboards using Streamlit to simplify pipeline monitoring, troubleshooting, and data exploration.


Job description

Job Description

WHAT IS THE OPPORTUNITY?

We are looking for a Data Engineering Tools Developer to build internal tools, frameworks, and developer utilities that improve the productivity and reliability of our Data Engineering teams. This role focuses on developing Python-based frameworks, Streamlit applications, and reusable engineering tools that enable faster development, monitoring, and governance of enterprise data pipelines. You will work closely with data engineers, platform engineers, and data architects to standardize how data pipelines are built, tested, deployed, and monitored across the organization. The ideal candidate combines strong Python development skills with experience in data engineering environments and enjoys building platforms and tools that empower other engineers

WHAT WILL YOU DO?

  • Design and build internal tools and frameworks that accelerate data pipeline development and deployment.

  • Develop Python libraries and reusable components for data ingestion, transformation, testing, and monitoring.

  • Build interactive developer tools and dashboards using Streamlit to simplify pipeline monitoring, troubleshooting, and data exploration.

  • Create frameworks for data validation, schema enforcement, and automated pipeline testing.

  • Develop utilities that improve data pipeline observability, logging, and operational support.

  • Collaborate with data engineers to standardize pipeline development patterns and best practices.

  • Integrate tools with data orchestration platforms, CI/CD pipelines, and cloud data platforms.

  • Build automation for data platform operations, metadata management, and pipeline governance.

  • Support the adoption of data engineering best practices and engineering standards across the organization.

  • Troubleshoot and optimize tools to ensure performance, scalability, and reliability in production environments.

WHAT DO YOU NEED TO SUCCEED?

Must have:

  • Bachelor's degree in Computer Science, Software Engineering, or related technical field.

  • 4-7 years of experience in software engineering or data engineering roles.

  • Strong proficiency in Python development.

  • Experience building data pipelines and data processing frameworks.

  • Experience developing internal engineering tools or reusable libraries.

  • Experience with Streamlit or similar frameworks for building data tools and dashboards.

  • Strong knowledge of SQL and working with large datasets.

  • Experience with source control (Git), testing frameworks, and CI/CD pipelines.

  • Experience working in Agile engineering environments.

Nice-to-have:

  • Experience with data orchestration tools such as Apache Airflow, Prefect, or Dagster.

  • Familiarity with modern data platforms such as Snowflake, Databricks, or cloud data lakes.

  • Experience with data transformation frameworks such as dbt.

  • Knowledge of data quality and data governance tooling.

  • Experience working in financial services or banking environments.

  • Familiarity with containerization technologies such as Docker.

  • Design & Develop AI engineering using Cortex.

What's 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

  • Flexible work/life balance options

  • Opportunities to do challenging work

#LI-POST
#TechPJ

Job Skills

Application Development, Application Integrations, Application Maintenance, Applications Architecture, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC), System Applications

Additional Job Details

Address:

180 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-03-20

Application Deadline:

2026-07-15

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.

Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

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