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Ai Model Jobs in Alberta (NOW HIRING)

AI Use Case Design : Lead discovery sessions to identify high-impact AI use cases across SAP S ... Experience with knowledge models, enterprise search, or domain-specific vector stores. Humble.

AI evaluation, test harnesses, regression testing, and lifecycle management for prompts and models ... Observability for AI systems, tracing, monitoring, alerting, and cost controls * Working knowledge ...

Experience or exposure building AI-enabled applications using modern AI frameworks, APIs, and foundational large language models such as OpenAI, Claude, Gemini, Llama, LangChain/LangGraph, Agno ...

Your role is integral to the design, development, and implementation of AI/ML models into data pipelines and microservice systems, for product delivery. What you'll be doing As a key member of the ...

Senior Developer, Enterprise AI

Calgary, AB ยท Remote

CA$157K - CA$212K/yr

  • Medical

  • Dental

  • Vision

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of ... Partner with Data Engineering and Data Insights on data modeling, classification, and metadata ...

Junior Machine Learning Engineer

Calgary, AB ยท On-site

CA$80K - CA$95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support the development and deployment of machine learning and AI models across ALS business functions. * Assist in building AI solutions using Large Language Models (LLMs). * Contribute to the ...

AI Workforce Architect

Calgary, AB ยท On-site

CA$114K - CA$171K/yr

AI Workforce Architect Avanade is looking for an experienced AI Workforce Architect who thrives on ... Experience defining operational models, monitoring strategies, and post go live support/runbooks.

Across Canada Work Model: Hybrid 2-Days Onsite Employment Type: Full-Time or Contractor Vacancy Status: New RESPONSIBILITIES * Partner with business and technology stakeholders to define AI strategy ...

Across Canada Work Model: Hybrid 2-Days Onsite Employment Type: Full-Time or Contractor Vacancy Status: New RESPONSIBILITIES * Partner with business and technology stakeholders to define AI strategy ...

Showing results 21-40

Ai Model information

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.

What are popular job titles related to Ai Model jobs in Alberta?

For Ai Model jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Ai Model jobs in Alberta look for?

The top searched job categories for Ai Model jobs in Alberta are:

Infographic showing various Ai Model job openings in Alberta as of August 2026, with employment types broken down into 65% Full Time, 20% Part Time, and 15% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Software Application Developer, Generative AI (Gen AI)

BMO Capital Markets

Calgary, AB โ€ข Hybrid

Full-time, Part-time

Medical, Life, Retirement

Re-posted 5 days ago


Job description

Application Deadline:

08/27/2026

Address:

401 9th Avenue SW, Suite 1930

Job Family Group:

Technology

As a Gen AI Software Application Developer at BMO, you will focus on building and integrating Generative AI capabilities into enterprise applications. Working with technology and business partners, you will design intelligent solutions using large language models, AI services, and modern cloud platforms, while contributing to the full software development lifecycle. This role blends hands on software engineering with practical application of AI, enabling you to build scalable systems that enhance automation, decision making, and user experience.

Key Responsibilities
  • Design and develop Generative AI powered features using LLM based services and retrieval patterns
  • Build AI enabled applications that support automation, summarization, and intelligent workflows
  • Integrate AI capabilities into existing systems using APIs, microservices, and cloud-based services
  • Use AI assisted development tools such as GitHub Copilot or similar to accelerate coding, testing, and documentation
  • Validate AI generated outputs for accuracy, security, and maintainability before production use
  • Deliver software solutions across design, development, testing, deployment, and support
  • Build and maintain applications using Java, Spring Boot, Oracle, SQL, etc. in a microservices architecture
  • Develop integrations using APIs, messaging systems, and data exchange formats
  • Write and optimize SQL queries supporting application and AI data workflows
  • Troubleshoot and resolve issues across development and production environments
Required AI and Cloud Capabilities
  • Hands on experience using AI assisted engineering tools such as GitHub Copilot or similar
  • Working knowledge of Generative AI concepts including prompt engineering, LLM integration, and retrieval-based approaches
  • Exposure to building or integrating AI powered application features
  • Understanding of responsible AI practices including data privacy and secure usage
Qualifications and Experience
  • 3 to 6 years of experience in software development or AI enabled application development
  • Hands-on experience to AWS cloud services including compute and AI capabilities
  • Experience working with Java, Spring Boot, Oracle, SQL, and microservices architectures
  • Familiarity with integrating APIs and messaging systems
  • Experience working with relational databases and SQL
Technical Skills
  • Programming: Java, Spring Boot, & Python exposure preferred
  • Architecture: Microservices and cloud native design
  • Integration: APIs, messaging, JSON, XML
  • Databases: Oracle SQL or equivalent
  • Cloud: AWS including Lambda, EKS, S3, and AI services
  • AI Engineering: LLM integration, RAG pipelines, vector databases, orchestration patterns
  • Tooling: GitHub Copilot or similar AI assisted engineering tools
Work Model
  • Hybrid - 2-3 days per week in office

Salary:

$61,600.00 - $113,900.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.