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Gen Ai Engineer 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 ...

Familiarity with AI-assisted development tools, Gen AI patterns, prompt engineering for delivery tasks, or AI-accelerated SDLC practices is an asset. * Strong communication skills with the ability to ...

Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market ... The role will be to work at the frontier of computing, at the intersection of numeric programming ...

Gen Ai Engineer information

What is a Gen AI engineer?

Gen AI Engineers are professionals who design, develop, and deploy generative artificial intelligence systems, such as large language models and image generators. They combine expertise in machine learning, deep learning, and software engineering to build applications that can create new content, automate tasks, and solve complex problems. Gen AI Engineers often work with frameworks like TensorFlow or PyTorch and collaborate with data scientists and product teams to bring generative AI solutions into real-world products.

What are the key skills and qualifications needed to thrive as a Gen AI engineer?

To thrive as a Gen AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically supported by a relevant degree and experience with AI model development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms such as AWS or Google Cloud, and proficiency in programming languages like Python are essential, as are certifications in AI or cloud technologies. Strong problem-solving skills, creativity, and the ability to communicate complex concepts effectively help you stand out in this role. These skills and qualities are crucial for building innovative AI solutions that meet business needs and drive technological advancement.

What are some common challenges Gen AI engineers face when deploying AI models in production environments?

Gen AI Engineers often encounter challenges such as ensuring model scalability, managing computational resources efficiently, and maintaining data privacy when deploying AI models. Additionally, integrating generative models with existing systems can require significant collaboration with DevOps and software engineering teams. Monitoring model performance in real-time and addressing issues like model drift or unexpected outputs are also critical responsibilities to ensure robust and reliable AI solutions.

What is the difference between Gen Ai Engineer vs Data Scientist?

AspectGen Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness analytics, research institutions, tech firms
Employer & Industry UsageDevelops generative AI models, focuses on AI product developmentAnalyzes data, builds predictive models, supports decision-making
Search & Comparison IntentUnderstanding AI-specific roles, skills, and responsibilitiesData analysis, insights, and statistical modeling

While both roles involve working with data and AI technologies, a Gen Ai Engineer primarily focuses on developing and deploying generative AI models, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap in skills and work environment but differ in their core objectives and applications.

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

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

What cities in Alberta are hiring for Gen Ai Engineer jobs?

Cities in Alberta with the most Gen Ai Engineer job openings:

Infographic showing various Gen Ai Engineer job openings in Alberta as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Software Application Developer, Generative AI (Gen AI)

BMO Capital Markets

Calgary, AB • Hybrid

Full-time, Part-time

Medical, Life, Retirement

Re-posted 8 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.