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Ai Operator Jobs in Alberta (NOW HIRING)

Will be operating multiple types of equipment such as excavator, dozer, skid steer, grader etc ... These tools are applied responsibly and in accordance with applicable privacy laws and Aecon's AI ...

Senior Developer, Enterprise AI

Calgary, AB ยท Remote

CA$157K - CA$212K/yr

The Senior Developer, Enterprise AI is a hands-on technical leader responsible for building, operating, and evolving Clio's internal AI systems and platforms. Reporting to the Manager, Enterprise AI ...

... operating across 32 countries and territories in North America, the Greater Caribbean, and Europe ... AI Use Case Design : Lead discovery sessions to identify high-impact AI use cases across SAP S ...

Screed Operator

Calgary, AB ยท On-site

CA$36 - CA$42/hr

Signals Paving Machine Operator to start and stop paving machine. * Observes distribution of ... These tools are applied responsibly and in accordance with applicable privacy laws and Aecon's AI ...

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Ai Operator information

See Alberta salary details

$10

$41

$92

How much do ai operator jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for ai operator in Alberta is $41.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $66.11 per hour, depending on experience, location, and employer.

What does an AI operator do?

An AI Operator is responsible for monitoring and maintaining AI systems, ensuring their optimal performance and addressing any malfunctions or anomalies that arise. This often includes reviewing AI-generated outputs, troubleshooting technical issues, updating software, performing regular system health checks, and coordinating with data scientists, engineers, or end-users to meet operational goals. Many AI Operators work in a collaborative, team-based environment where timely communication and documentation are essential. The role may also involve reporting on system metrics, assisting with model retraining, and supporting the deployment of updates or improvements.

How much does an AI operator make?

AI operators typically earn between $50,000 and $100,000 annually, depending on experience, location, and the complexity of tasks. Entry-level positions may start lower, while experienced operators with specialized skills or certifications can earn higher salaries.

How to become an AI operator?

To become an AI operator, you typically need a background in computer science, data analysis, or related fields, along with knowledge of AI and machine learning tools. Gaining experience with programming languages like Python and understanding AI frameworks such as TensorFlow or PyTorch is essential. Certifications in AI or data science can also enhance your qualifications for this role.

What are the key skills and qualifications needed to thrive as an AI operator?

To thrive as an AI Operator, you need a foundational understanding of machine learning workflows, computer science principles, and proficiency with data processing, typically supported by a relevant technical degree or certification. Familiarity with AI management platforms, automated monitoring tools, and scripting languages like Python is highly valuable. Attention to detail, problem-solving skills, and effective communication are important soft skills for this role. These capabilities ensure smooth AI system operations, rapid issue resolution, and effective collaboration within multidisciplinary teams.

What is an AI operator?

An AI Operator is responsible for managing, monitoring, and optimizing artificial intelligence systems to ensure they function efficiently and effectively. They work with machine learning models, troubleshoot AI-related issues, and oversee the deployment of AI-driven solutions. Their role often requires technical skills in data processing, software tools, and automation workflows to maintain system performance and reliability. AI Operators may collaborate with engineers and data scientists to enhance AI capabilities and implement improvements.

Infographic showing various Ai Operator job openings in Alberta as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $86,100 per year, or $41.4 per hour.

Senior Manager, Data Analytics & Automation-AI Strategy Modernization

KPMG

Calgary, AB โ€ข On-site

Full-time

Re-posted 6 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canadaโ€™s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

KPMGโ€™s Management Consulting practice helps organizationsย leverageย change.ย The Data, Analytics and Automation team helps organizations unlock value from data and AI by enabling data-informed decision-making through strategy, governance, and operating model design in complex enterprise environments.ย 

We help organizationsย toย becomeย AI driven! Will you collaborate with us?ย ย 

Our Teamย 
As aย Senior Manager in Data, Analytics and Automation, you will be part of our Technology Consulting practice within Consulting Firm. Our global network of professionals collaborates to design innovative, data-drivenย and AI-enabled solutions.ย 

We integrate across advisory domains including Business Intelligence, Advanced Analytics, Digital Transformation, and Enterprise Solutions to help organizations embed AI into their core business strategy.ย We collaborate across service offerings onย AIย driven solutions.ย ย 

The successful candidate will leadย AI and advanced analytics strategy engagements, helping organizationsย identify, prioritize, and design AI-enabled opportunities.ย 

This role is focused onย strategy, use case design, and operating model definitionโ€”not model development or implementation. You will work with business and technology leaders to shape how AI is adopted responsibly and effectively across the enterprise.ย 


What you will do
  • Lead the development ofย AI and advanced analytics strategies and roadmapsย ย 
  • Identifyย and prioritizeย AI use casesย aligned to business value and strategic objectivesย ย 
  • Designย AI operating models, including governance, roles, and delivery structuresย ย 
  • Define frameworks forย responsible AI, including model risk management, ethics, and complianceย ย 
  • Translate business challenges intoย AI-enabled solutions and high-level designsย ย 
  • Developย business cases and value realization frameworksย for AI initiativesย ย 
  • Facilitate workshops to driveย AI ideation, use case discovery, and prioritizationย ย 
  • Align AI strategy with underlyingย data capabilities and enterprise architectureย ย 
  • Advise on adoption of emerging technologies (e.g., GenAI) at a strategic levelย ย 
  • Support executive stakeholders in understandingย AI risks, opportunities, and investment decisionsย ย 
  • Collaborate with data strategy teams to ensure alignment betweenย data and AI transformationย ย 
  • Contribute to the development ofย AI advisory offerings and thought leadershipย ย 
  • Mentor team members in AI strategy, analytics translation, and business engagementย 

What you bring to the role
  • University degree in data science, computer science, business, or a related fieldย ย 
  • 10+ years of experience in analytics, AI, or data-driven strategy roles, including 5-7 years of hands on consulting experienceย 
  • Proven experience in definingย AI strategies, use cases, and operating modelsย ย 
  • Strong understanding ofย AI/ML concepts and lifecycleย (without requiring hands-on development)ย ย 
  • Experience withย GenAI and emerging AI trendsย is strongly preferredย ย 
  • Strong business acumen and ability to translate analytics intoย business valueย ย 
  • Experience engaging withย senior stakeholders and executivesย ย 
  • Excellent communication and storytelling skillsย ย 
  • Experience in financial services or insurance is considered an assetย ย 
  • Familiarity with AI governance, ethics, and regulatory considerations is an assetย 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right |ย Excellence, we never stop learning and improving |ย Courage, we think and act boldly | Together, we respect each other and draw strength from our differences |ย For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMGโ€™s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMGโ€™s Trusted AI framework.

We believe technology should empower human judgment, not replace it. Itโ€™s one of the many ways weโ€™re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • University degree in data science, computer science, business, or a related fieldย ย 
  • 10+ years of experience in analytics, AI, or data-driven strategy roles, including 5-7 years of hands on consulting experienceย 
  • Proven experience in definingย AI strategies, use cases, and operating modelsย ย 
  • Strong understanding ofย AI/ML concepts and lifecycleย (without requiring hands-on development)ย ย 
  • Experience withย GenAI and emerging AI trendsย is strongly preferredย ย 
  • Strong business acumen and ability to translate analytics intoย business valueย ย 
  • Experience engaging withย senior stakeholders and executivesย ย 
  • Excellent communication and storytelling skillsย ย 
  • Experience in financial services or insurance is considered an assetย ย 
  • Familiarity with AI governance, ethics, and regulatory considerations is an assetย 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME