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Added 1 min ago
Senior Integration Architect
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Contract
Database & Scripting - SQL and PL/SQL; custom scripting in Ruby, Python, Java, Groovy, or JavaScript; Custom Connectors via Connector SDK and Developer API.
Added 1 min ago
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Senior Full Stack .NET Developer
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Senior Full Stack Java Developer
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Added 3 mins ago
Avionics & Mechatronics Engineer- Canada
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Enterprise NAS & Object Storage Specialist
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Added 18 mins ago
Software Application Developer, Generative AI (Gen AI)
BMO
Calgary, AB · GCS
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…
Added 18 mins ago
Senior Analyst – Cyber Threat Intelligence
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Senior Analyst – Operations and Assurance
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Expert-level programming in Java with proficiency in TypeScript and Python
Added 32 mins ago
Python/Pyspark Developer
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$65 to $75 CAD / hour
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Seeking a Core Python Engineer with an expertise in big data processing, particularly within the TechFin industry. Candidate should have experience working with financial enterprise…
Added 33 mins ago
Camera Design Engineer
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TCL/Perl/Python/shell-scripting skills a major plus
Added 33 mins ago
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Added 48 mins ago
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BMO

Software Application Developer, Generative AI (Gen AI)

Calgary, AB, Canada
GCS, Canada

Pay: $55,500.00 - $120,000.00
Apply by: Oct 16, 2026
Experience: 3 to 6 years of experience in software development or AI enabled application development
Posting language: English
Posted: Sep 21, 2026

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Original job description

Application Deadline:

10/15/2026

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:

$55,500.00 - $120,000.00

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.

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More about this job

Responsibilities

The developer will design and integrate Generative AI capabilities into enterprise applications using large language models and cloud platforms. They will also build scalable systems to enhance automation and intelligent workflows while maintaining existing microservices architectures.

Requirements

Candidates must have 3 to 6 years of experience in software or AI-enabled application development with proficiency in Java, Spring Boot, and AWS. A strong understanding of Generative AI concepts, prompt engineering, and relational databases is required.

Skills

Java
Spring Boot
Python
Microservices
Cloud-native design
AWS
Oracle SQL
Generative AI
LLM integration
RAG pipelines
Vector databases
GitHub Copilot
Prompt engineering
API integration
Messaging systems
Data exchange formats

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Java
Spring Boot
Python
Microservices
AWS
Oracle
SQL
GitHub Copilot
LLM
RAG
Vector databases
API
Cloud computing
Automation
Prompt engineering
JSON
XML
Lambda
EKS
S3
Data privacy
Responsible AI

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