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Generative Ai Project Manager Jobs in Toronto, ON

... with Generative AI frameworks and architectures. * Deep knowledge of retrieval-augmented generation (RAG), agentic frameworks, context and memory management, and tool/skills integration patterns.

AI Solution Architect

Toronto, ON · Hybrid

CA$150K - CA$200K/yr

... and generative AI solutions. This role bridges business strategy, solution architecture, and ... Why Join Levio? * Work on complex,high impactdigital transformation projects

As a part of our team, you will bring deep expertise in Generative AI and quantitative modeling ... demanding projects - Conduct deep data analysis to derive insights to the business, and identify ...

You will develop and scale Generative AI-powered systems, including large language model (LLM ... Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred ...

Generative AI Integration: Hands-on experience integrating Generative AI/LLM APIs, AWS Bedrock, and ... Exposure to building Gen AI/Agentic AI applications, managing efficiency, latency, and backend ...

Generative AI Integration: Hands-on experience integrating Generative AI/LLM APIs, AWS Bedrock, and ... Exposure to building Gen AI/Agentic AI applications, managing efficiency, latency, and backend ...

ML/AI Engineer

Toronto, ON · On-site +1

CA$110K - CA$150K/yr

... and generative AI systems. This role owns the end-to-end ML lifecycle, ensuring models and AI ... Why Join Levio? * Work on complex,high impactdigital transformation projects

RQ11252 - Sr. AI Engineer

Toronto, ON · On-site

CA$90.18 - CA$108.22/hr

... Generative AI and Conversational AI solutions based on business requirements, architecture standards, security policies, best practices and project deliverables. * Designs, develops and supports AI ...

Showing results 21-40

Generative Ai Project Manager information

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What job categories do people searching Generative Ai Project Manager jobs in Toronto, ON look for?

The top searched job categories for Generative Ai Project Manager jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Generative Ai Project Manager jobs?

Cities near Toronto, ON with the most Generative Ai Project Manager job openings:

Full-time

Posted 17 days ago


Job description

Job Description

AI Engineer, AidenSales

RBC Capital Markets is seeking an AI Engineer with deep expertise in Generative AI, neural networks, and transfer learning to support Sales teams with cutting-edge AI-powered solutions. You will lead the design and development of intelligent systems that enhance client engagement, deal intelligence, and sales productivity across Capital Markets.

The Capital Markets Data AI and Research Technology (DART) team is looking for a hands-on AI Engineer to drive Generative AI initiatives that empower our Sales organization. You will build and deploy AI solutions that give sales professionals real-time insights, automate routine tasks, and enable them to focus on client relationships and closing deals.

Hybrid Schedule: In-office 4 days per week

What will you do?

Design and build agentic frameworks that solve critical sales use cases including client intelligence gathering, pitch content generation, deal summarization, and real-time conversation analysis. Develop conversational AI systems that assist sales professionals in client interactions and help synthesize client intelligence across multiple data sources. Embed Generative AI tools into Sales platforms, enabling seamless workflows for prospect research, proposal generation, and deal tracking. Architect end-to-end AI solutions covering experimentation, model evaluation, and production monitoring to ensure sales tools perform reliably at scale. Guide the team on best practices, conduct code reviews, and mentor team members on Generative AI implementation.

What do you need to succeed?

Must-have

  • A PhD or Master's degree in Computer Science, Machine Learning, Deep Learning, or equivalent hands-on experience.
  • 2-5 years building Deep Learning or Machine Learning models in production environments.
  • Advanced proficiency in Python and hands-on experience with Generative AI frameworks and architectures.
  • Deep knowledge of retrieval-augmented generation (RAG), agentic frameworks, context and memory management, and tool/skills integration patterns.
  • Strong understanding of large language model architectures, inference, fine-tuning, and model deployment.
  • Experience with Anthropic models and Claude, including code generation capabilities. In-depth knowledge of embeddings, re-rankers, and vector databases.
  • Expertise in ML experimentation, model evaluation, and monitoring in production. Strong foundation in algorithms, data structures, and distributed computing.
  • Understanding of sales workflows, client intelligence use cases, or familiarity with how sales teams operate.
  • Embraces an AI-first approach: Someone who actively incorporates AI tools and technologies into daily workflows to enhance productivity, streamline routine tasks, and drive efficiency. Demonstrates curiosity about emerging AI capabilities and applies them thoughtfully to deliver better outcomes for clients and internal stakeholders.

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, and stock where applicable.
  • Leaders who support your development through coaching and meaningful opportunities for growth.
  • The ability to make a lasting impact on how our Sales teams compete and win business at scale.
  • Work in a dynamic, collaborative, and high-performing team tackling some of the most challenging AI problems in financial services sales.
  • A world-class training program in financial services and AI best practices.
  • Flexible work/life balance options and progressive career opportunities across RBC.
  • Access to challenging work and the chance to build close relationships with Sales leadership and clients.

#LI-POST

Job Skills

Active Learning, Agile Methodology, AI Agents, AI Concepts, AI Frameworks, Application Integrations, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Machine Learning (ML), Programming Languages, Python (Programming Language), Retrieval-Augmented Generation, Software Development Life Cycle (SDLC)

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

CAPITAL MARKETS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-04

Application Deadline:

2026-08-29

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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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