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Part Time Azure Ai Engineer information
What is the difference between Part Time Azure Ai Engineer vs Part Time Data Scientist?
| Aspect | Part Time Azure Ai Engineer | Part Time Data Scientist |
|---|---|---|
| Required Credentials | Azure certifications, programming skills (Python, SQL) | Statistics, data analysis, programming (Python, R) |
| Work Environment | Cloud platforms, AI model deployment, software development | Data analysis, modeling, research |
| Employer & Industry Usage | Tech companies, cloud service providers, AI-focused firms | Research institutions, analytics firms, tech companies |
Both roles often require programming skills and familiarity with cloud or data analysis tools. An Azure Ai Engineer focuses on deploying AI solutions on Azure cloud, while a Data Scientist emphasizes analyzing data and building models. The choice depends on whether you prefer cloud-based AI deployment or data analysis and research.
What are the most commonly searched types of Azure Ai Engineer jobs in Alberta?
The most popular types of Azure Ai Engineer jobs in Alberta are:
What are popular job titles related to Part Time Azure Ai Engineer jobs in Alberta?
For Part Time Azure Ai Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Part Time Azure Ai Engineer jobs in Alberta look for?
The top searched job categories for Part Time Azure Ai Engineer jobs in Alberta are:
What cities in Alberta are hiring for Part Time Azure Ai Engineer jobs?
Cities in Alberta with the most Part Time Azure Ai Engineer job openings:

Software Application Developer, Generative AI (Gen AI)
Calgary, AB • Hybrid
Full-time, Part-time
Medical, Life, Retirement
Re-posted 11 days ago
Job description
Application Deadline:
Address:
401 9th Avenue SW, Suite 1930Job Family Group:
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
- 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
- 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
- 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
- Hybrid - 2-3 days per week in office
Salary:
Pay Type:
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.