GenAI Software Developer
BMO Financial Group1 day ago
Calgary, CanadaMid Level / Senior
Responsibilities
- Design, develop, test, deploy, and maintain AI-powered applications and solutions for banking business challenges.
- Build and optimize Generative AI workflows using prompt engineering, orchestration frameworks, RAG capabilities, AI agents, reusable skills, and intelligent automation.
- Design and deploy AI agents using AWS AgentCore for scalable automation, process optimization, and enterprise AI solutions.
- Translate business and user requirements into technical specifications, scalable solutions, and documented software implementations.
- Collaborate on solution architecture, APIs, microservices, system integrations, and cloud-based deployments.
- Perform testing, performance optimization, monitoring, debugging, troubleshooting, preventative maintenance, corrective maintenance, and issue resolution.
- Ensure code and configurations meet security, logging, error-handling, performance, governance, privacy, and non-functional requirements.
- Evaluate emerging AI technologies and assess their impact on systems, processes, data, risk, and business value.
- Follow software development lifecycle, release management, version control, Agile delivery, and enterprise technology standards.
- Use GitHub Copilot and JIRA Rovo to accelerate development and improve developer productivity.
- Contribute to responsible AI practices and apply BMO’s Risk Management Framework and applicable policies, laws, and regulatory requirements.
Requirements
- 4–6 years of experience in software development, application engineering, or related technical roles.
- Strong programming, software development, engineering practices, and design-pattern experience.
- Experience developing AI-powered applications using Large Language Models and Generative AI frameworks.
- Experience with AI agents, RAG architectures, vector databases, embeddings, knowledge retrieval, prompt engineering, grounding, token optimization, evaluation, performance tuning, and cost optimization.
- Knowledge of Model Context Protocol and experience integrating AI solutions with enterprise systems, tools, and data sources.
- Experience designing, consuming, and integrating RESTful APIs with Swagger/OpenAPI specifications.
- Experience with cloud computing environments, cloud-native application development, microservices, APIs, and system integrations.
- Skills in SQL, Prompt Engineering, and JIRA Rovo.
- Knowledge of software testing methodologies, Quality Assurance, Test Driven Development, secure software development, Responsible AI, governance, and enterprise technology standards.
- Strong troubleshooting, root-cause analysis, analytical, problem-solving, communication, collaboration, and business-requirement translation skills.
- Nice-to-have experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, Microsoft Copilot Studio, or similar AI platforms.
- Nice-to-have Java experience and experience with AI agents, multi-agent systems, conversational AI, vector databases, semantic search, AI governance, model evaluation, AI observability, or regulated-industry GenAI solutions.
Benefits
- Health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.
- Opportunity to work with enterprise-scale AI and cloud technologies and contribute to responsible AI adoption in banking.
- Continuous learning, training, coaching, manager support, and network-building opportunities.
- Application deadline is October 30, 2026; the listed address is 401 9th Avenue SW, Suite 1930.
Categories
About BMO Financial Group
BMO Financial Group is a publicly traded North American bank offering personal and commercial banking, wealth management, and capital markets services to consumers, businesses, and institutions. Founded in 1817 and headquartered in Toronto, it operates in Canada and the United States, including BMO Bank N.A. in the U.S. The company is listed on the NYSE and TSX under the symbol BMO.