1

Gen Ai Developer Jobs in Alberta (NOW HIRING)

Sr. AI Engineer

Calgary, AB

CA$91K - CA$114K/yr

Working with software developers, application architects, QA engineers, and operations teams to ... Experience building Gen AI applications. * Develop and integrate RESTful APIs, focusing on Azure ...

Gen Ai Developer information

What is a Gen AI Developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

What is the difference between Gen Ai Developer vs Machine Learning Engineer?

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

What are the key skills and qualifications needed to thrive as a Gen AI Developer, and why are they important?

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI Developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.
What are popular job titles related to Gen Ai Developer jobs in Alberta? For Gen Ai Developer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Gen Ai Developer jobs in Alberta look for? The top searched job categories for Gen Ai Developer jobs in Alberta are:
Infographic showing various Gen Ai Developer job openings in Alberta as of July 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution.

Software Application Developer, Generative AI (Gen AI)

BMO Capital Markets

Calgary, AB โ€ข Hybrid

Other

Medical, Life, Retirement

Posted 13 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.