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Generative Ai Project Manager Jobs in Toronto, ON

Apertera

Generative AI Engineer

Toronto, ON · On-site

Working knowledge and project-based record of all of the following: context engineering, RAG ... Self-driven, self-motivated with excellent time management skills * Excellent organizational ...

Accenture

AI Architect, Manager

Toronto, ON · Remote

Provide continuous advice, best practices, and quality assurance to AI project teams related to ... LLM solution architecture & solution development (Generative AI / Azure OpenAI) * Time-Series ...

Citi

Senior Agentic AI Engineer

Mississauga, ON

We are seeking an experienced Senior Generative AI Developer to help drive the design, development ... Design robust agent harnesses -- governance, constraints, feedback loops, state/session management ...

New

Amazon

Applied Scientist, Sales AI

Toronto, ON · On-site

You are fluently able to leverage the latest Generative AI systems and services to accelerate and ... delivering on demanding projects - Run regular A/B experiments, gather data, and perform ...

Amazon

Applied Scientist, Sales AI

Toronto, ON · On-site

You are fluently able to leverage the latest Generative AI systems and services to accelerate and ... delivering on demanding projects - Run regular A/B experiments, gather data, and perform ...

Bentley Systems

Senior Product Manager - AI

Vaughan, ON · On-site

... projects. Your role is crucial in enhancing the productivity of users of our software through the ... PM experience with AI-enhanced products, including generative AI, is highly desirable. * Track ...

GEI Consultants

AI Engineer

Markham, ON

CA$110K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with Generative AI Large Language Models (LLMs), including solution development and fine ... Our range of expertise, project types, and culture make us the choice for top talent in the AEC ...

Royal Bank of Canada

AI Engineer

Toronto, ON · Hybrid

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

GEI Consultants

AI Engineer

Concord, ON

CA$110K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with Generative AI Large Language Models (LLMs), including solution development and fine ... Our range of expertise, project types, and culture make us the choice for top talent in the AEC ...

Levio

AI Solution Architect

Toronto, ON · Hybrid

CA$150K - CA$200K/yr

  • PTO

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

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All JobsGenerative Ai Project JobsGenerative Ai Project Manager JobsGenerative Ai Project Manager Jobs in Toronto, ON

Generative Ai Project Manager information

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 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 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:
Generative Ai Project Manager jobs near you

Generative AI Engineer

Apertera

Toronto, ON • On-site

Full-time

Re-posted 19 days ago

Job description

Generative AI EngineerAbout Apertera

Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.

For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.
Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

Our core values: 

  • Innovation
  • Dedication
  • Fanatical commitment to quality and service
  • Resourcefulness
  • Collaboration
About the Role

We are looking for a Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will report to the team lead in AI Innovation, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our Generative AI Engineer to to work at the intersection of LLM engineering, machine translation, cloud infrastructure, and evaluation. You'll play a pivotal role in pushing the boundaries of applying GenAI to translation scenarios and create innovative solutions.

Responsibilities
  • Implement state-of-the-art LLM techniques including continued pre-training, instruction fine-tuning, preference alignment, and LLM deployment.
  • Work closely with machine learning engineers and data engineers to design, build, and test models.
  • Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse hardware platforms.
  • Train and evaluate generative models using appropriate metrics and benchmarks, fine-tuning model parameters, architectures, and hyperparameters to optimize performance, stability, and generalization.
  • Built end-to-end prototypes that are production ready.
  • Work closely with software and DevOps engineers to deploy GenAI models.    
  • Document code, algorithms, and experimental results, following best practices for reproducibility, version control, and software engineering, and contributing to internal knowledge sharing and continuous improvement initiatives.
Requirements
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields. A Master’s degree is preferred.
  • 2+ years of industry experience developing GenAI and LLM applications is preferred.
  • Proficiency in Python programming and software development practices, with experience in building and maintaining scalable, production-grade software systems.
  • Working knowledge and project-based record of all of the following: context engineering, RAG, harness engineering.
  • Working knowledge and project-based record of at least one of the following is a plus: LLM post-training, APO, agentic workflow.
  • Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a fast-paced environment.
  • Hands-on experience with Huggingface APIs or Amazon Bedrock. 
  • Expert skills of Python, including PyTorch, TensorFlow, Pandas, etc.
  • Experience with cloud platforms like AWS, GCP, or Azure 
  • Excellent problem-solving skills, critical thinking, and the ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to articulate complex technical concepts effectively and work cross-functionally with diverse teams.
  • Self-driven, self-motivated with excellent time management skills
  • Excellent organizational, communication, and interpersonal skills
  • Ability to adapt to shifting priorities without compromising deadlines and momentum.

 

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