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GenAI Software Developer

Job in Calgary, Alberta, D3J, Canada
Listing for: BMO
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 82000 - 147000 CAD Yearly CAD 82000.00 147000.00 YEAR
Job Description & How to Apply Below

At BMO, we're transforming the future of financial services through Generative AI. We're looking for a passionate and innovative GenAI Software Developer to join our growing team and help design, build, and scale intelligent AI‑powered solutions that enhance employee and customer experiences across the bank.

What You’ll Do
  • Design, develop, test, and deploy AI-powered applications and solutions that address business challenges and improve operational efficiency.
  • Partner with business stakeholders, product teams, and technical experts to translate business requirements into scalable technical solutions.
  • Build and optimize Generative AI workflows using prompt engineering, AI orchestration frameworks, RAG capabilities, and intelligent automation.
  • Design and develop reusable AI skills, prompts, agents, and workflows that can be leveraged across multiple business use cases and teams.
  • Develop high-quality, secure, and maintainable code while adhering to enterprise engineering standards and best practices.
  • Collaborate on solution architecture, system integrations, APIs, microservices, and cloud-based deployments.
  • Evaluate emerging AI technologies, frameworks, and tools to identify opportunities for innovation and business value.
  • Support continuous improvement through testing, performance optimization, monitoring, debugging, and troubleshooting.
  • Participate in the full software development lifecycle, from ideation and design through implementation, deployment, and ongoing maintenance.
  • Leverage AI-assisted development tools such as Git Hub Copilot and JIRA Rovo to accelerate delivery and improve developer productivity.
  • Contribute to responsible AI practices by ensuring solutions align with security, privacy, governance, and risk management requirements.
  • Drive innovation by exploring new use cases and applying generative AI capabilities to transform the way BMO works.
Key Responsibilities
  • Translate user needs into technical specifications by understanding, conceptualizing, and facilitating business and technical requirements.
  • Analyze, develop, test, and implement software solutions while documenting all phases of the software development lifecycle.
  • Perform preventative and corrective maintenance, troubleshooting, and issue resolution for applications and supporting systems.
  • Ensure code and configurations adhere to security, logging, error handling, performance, and non-functional requirements.
  • Evaluate new technologies and assess their impact on systems, processes, data, and risk.
  • Follow release management standards and version control practices.
  • Assist in interpreting and documenting client and business requirements.
  • Work independently on a range of complex tasks and challenges.
  • Exercise sound judgment to identify, diagnose, and resolve issues effectively.
  • Take measured risks while protecting the bank by applying BMO’s Risk Management Framework and adhering to all applicable policies, standards, laws, and regulatory requirements.
  • Broader responsibilities or accountabilities may be assigned as needed.
What Makes You Successful

You are a curious technologist who combines strong software engineering fundamentals with a passion for AI and emerging technologies. You thrive in fast-paced environments, enjoy learning new tools, and are excited by the opportunity to help shape the future of banking through generative AI.

Technical Skills & Experience
  • 4-6 years of experience in software development, application engineering, or related technical roles.
  • Strong programming and software development experience with modern engineering practices and design patterns.
  • Experience developing AI-powered applications using Large Language Models (LLMs) and generative AI frameworks.
  • Strong understanding of Retrieval-Augmented Generation (RAG) architectures, vector databases, embeddings, and knowledge retrieval techniques.
  • Knowledge of Model Context Protocol (MCP) and integrating AI solutions with enterprise systems, tools, and data sources.
  • Experience designing, consuming, and integrating RESTful APIs, including working with Swagger/OpenAPI specifications.
  • Experience leveraging Git Hub Copilot and other AI-assisted development tools to accelerate software…
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