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Generative Ai Project Manager Jobs in Edmonton, AB

Elantis Solutions

AI-First Project Manager

Edmonton, AB · On-site +1

AI -First Project Manager Employment Type: Full-Time Location: Edmonton, Alberta Position Summary At Elantis, we help organizations modernize how they work through tailored Microsoft solutions - and ...

Colliers Project Leaders

Project Manager

Edmonton, AB

As a Project Manager, you will be at the forefront of delivering excellence, ensuring your projects ... Artificial Intelligence (AI) Use: We may use technology tools to assist in screening applications ...

Ellisdon

Project Manager

Edmonton, AB · On-site

Submit project reports to Area Manager and communicate with management about project progress and ... EllisDon uses AI tools to assist in screening and assessing applicants for this position.

Ellisdon

Project Manager

Edmonton, AB

You as a Special Projects Manager (Building Group) will: * Oversee all work that is considered ... EllisDon uses AI tools to assist in screening and assessing applicants for this position.

Ellisdon

Project Manager

Edmonton, AB · On-site

Submit project reports to Area Manager and communicate with management about project progress and ... EllisDon uses AI tools to assist in screening and assessing applicants for this position.

Ellisdon

Senior Project Manager

Edmonton, AB · On-site

EllisDon uses AI tools to assist in screening and assessing applicants for this position. You as a Senior Project Manager will: * Provide overall construction management from pre-construction to ...

SIA

Applied AI Lead - Edmonton

Edmonton, AB · On-site

Today our strategy and management capabilities are augmented by data science, enhanced by ... We guide their projects and initiatives in strategy, business transformation, IT & digital strategy.

The Altus Group

Project Manager, Construction

Edmonton, AB · On-site +1

CA$95K - CA$120K/yr

As a Project Manager at Altus Project Management, you will play a crucial role in overseeing and ... Use of Artificial Intelligence AI tools may be used to support the initial stages of screening for ...

Ellisdon

Senior Project Manager

Edmonton, AB · On-site

EllisDon uses AI tools to assist in screening and assessing applicants for this position. You as a Senior Project Manager will: * Provide overall construction management from pre-construction to ...

Ellisdon

Assistant Project Manager

Edmonton, AB · On-site

You as an Assistant Project Manager will: * Prepare and analyze financial data ensuring positive ... EllisDon uses AI tools to assist in screening and assessing applicants for this position.

Ellisdon

Assistant Project Manager

Edmonton, AB · On-site

You as an Assistant Project Manager will: * Prepare and analyze financial data ensuring positive ... EllisDon uses AI tools to assist in screening and assessing applicants for this position.

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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 are popular job titles related to Generative Ai Project Manager jobs in Edmonton, AB?

For Generative Ai Project Manager jobs in Edmonton, AB, the most frequently searched job titles are:

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

The top searched job categories for Generative Ai Project Manager jobs in Edmonton, AB are:

What cities near Edmonton, AB are hiring for Generative Ai Project Manager jobs?

Cities near Edmonton, AB with the most Generative Ai Project Manager job openings:

Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in Edmonton, AB as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

AWS Solutions Architect- AI/ML

Cloudelligent

Edmonton, AB • Remote

Full-time

Re-posted 6 days ago

Job description

 Position Title: AWS Solutions Architect- AI/ML
Employment Time: Full-Time
This Is a fully remote position with travel required.
About Cloudelligent
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.
Job Objective
As an AWS Solutions Architect- AI/ML at Cloudelligent, you will be responsible for designing and implementing scalable, innovative cloud solutions for our clients. You will focus on cloud modernization, data engineering, and AI/ML integration to drive business transformation. You will collaborate with clients, service delivery managers, and cross-functional teams to understand business goals, assess existing infrastructure, and develop cloud architectures using AWS technologies.
Responsibilities
  • Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS, improving scalability, performance, and cost efficiency.
  • Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation.
  • Lead technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions that leverage AI, data, and modernization strategies.
  • Act as a trusted advisor, guiding clients through the design and implementation of custom cloud architecture that meet their business goals, with a focus on scalability, security, and cost optimization.
  • Lead deep-dive architecture sessions with clients, proposing Well-Architected solutions that include data pipelines, cloud-native frameworks, and modern technologies for app modernization, AI/ML, and data-driven applications.
  • Define and implement cloud governance frameworks to ensure compliance with AWS security policies, industry standards, and best practices for data security, AI privacy, and regulatory compliance.
  • Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams, ensuring project goals, timelines, and expectations are clearly set.
  • Implement advanced Generative AI use cases using AWS tools to automate business processes, enhance customer service, and drive innovation in content creation and decision-making.
  • Lead cloud migration initiatives, focusing on data modernization, app modernization, and multi- region deployments to ensure seamless transitions to cloud environments.
  • Stay up to date with the latest developments in cloud technologies, Generative AI, data engineering, and machine learning to bring new insights and innovations to both internal teams and client solutions.
Requirements
  • 8+ years of experience designing, building, and operating solutions on AWS, with strong expertise in cloud modernization, data engineering, and AI/ML architecture.
  • Strong understanding of cloud-native patterns and AWS Well-Architected best practices, particularly for modernization, data solutions, and AI/ML workloads.
  • Experience with cloud services: Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
  • Proven expertise in designing data pipelines, integrating data lakes, data warehouses, and other data solutions that support AI/ML and modern business needs.
  • Proven experience migrating legacy applications to AWS, leveraging containers (Docker, ECS, EKS), serverless technologies, and cloud-native architectures.
  • Proficiency with Terraform or CloudFormation for automating cloud deployments and infrastructure management.
  • Understanding of AWS security controls related to data security, AI privacy, and regulatory compliance.
  • Strong experience in pre-sales and customer-facing roles, helping clients translate business requirements into technical solutions and building strong, long-term relationships.
Highly Preferred
  • AWS Certified Machine Learning – Associate
  • AWS Certified Gen AI Developer- Professional
  • AWS Certified Solutions Architect – Associate or Professional

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