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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.
This is an exciting opportunity to work at the intersection of artificial intelligence, software engineering, cloud technologies, and business transformation. You'll collaborate with cross-functional teams to develop next-generation applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern cloud-native architectures.
If you're energized by solving complex problems, experimenting with emerging technologies, and delivering measurable business impact through AI, we'd love to hear from you.
What You'll DoAs a GenAI Software Developer, you will:
- 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 GitHub 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.
- 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.
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.
- Design, develop, and deploy intelligent AI agents using AWS AgentCore, enabling scalable automation, business process optimization, and enterprise AI solutions.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 GitHub Copilot and other AI-assisted development tools to accelerate software development and improve code quality.
- Ability to design, build, test, and maintain reusable AI skills, prompts, agents, and workflows.
- Strong understanding of LLM model selection, prompt engineering, grounding techniques, token optimization, performance tuning, evaluation methodologies, and cost optimization strategies.
- Skills required: SQL, Prompt Engineering, and JIRA Rovo.
- Experience with cloud computing environments and cloud-native application development.
- Experience with microservices architecture, APIs, and system integrations.
- Knowledge of software testing methodologies, Quality Assurance practices, and Test Driven Development (TDD).
- Understanding of secure software development practices, Responsible AI principles, governance, and enterprise technology standards.
- Experience working within Agile delivery environments and Software Development Lifecycle (SDLC) frameworks.
- Strong troubleshooting and root-cause analysis capabilities.
- Creative Thinking
- Building and Managing Relationships
- Emotional Agility
- Quality Assurance and Testing
- Cloud Computing
- Microservices
- Technology Business Requirements Definition, Analysis and Mapping
- Adaptability
- Learning Agility
- Strong analytical and problem-solving capabilities.
- Excellent verbal and written communication skills.
- Ability to translate complex technical concepts into business-friendly language.
- Strong collaboration and teamwork skills.
- Data-driven decision-making mindset.
- Curiosity and passion for continuous learning and innovation.
- Ability to work independently while contributing to highly collaborative teams.
- Experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, Microsoft Copilot Studio, or similar AI platforms.
- JAVA
- Experience developing AI agents, multi-agent systems, or conversational AI solutions.
- Familiarity with vector databases and semantic search technologies.
- Knowledge of Responsible AI, AI governance, model evaluation, and AI observability practices.
- Experience building and deploying enterprise-scale GenAI solutions within regulated industries such as banking or financial services.
At BMO, you'll have the opportunity to work on transformative AI initiatives at enterprise scale, collaborate with talented colleagues across disciplines, and help shape how Generative AI is used responsibly in one of North America's leading financial institutions.
You'll be empowered to:
- Work with cutting-edge AI and cloud technologies.
- Influence the future of AI adoption within the bank.
- Solve meaningful business challenges with real-world impact.
- Accelerate your career through continuous learning and innovation.
- Contribute to a culture that values curiosity, collaboration, and bold thinking.
Ready to help redefine banking through Generative AI? Join BMO and build what's next.
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.
Skills Required
- 4-6 years of experience in software development, application engineering, or related technical roles
- Strong programming and software development experience using modern engineering practices and design patterns
- Experience developing AI-powered applications using Large Language Models and Generative AI frameworks
- Experience designing, developing, and deploying AI agents using AWS AgentCore
- Strong understanding of Retrieval-Augmented Generation, vector databases, embeddings, and knowledge retrieval
- Knowledge of Model Context Protocol and enterprise system, tool, and data integrations
- Experience designing, consuming, and integrating RESTful APIs, including Swagger/OpenAPI specifications
- Experience using GitHub Copilot and other AI-assisted development tools
- Ability to build, test, and maintain reusable AI skills, prompts, agents, and workflows
- Understanding of LLM model selection, prompt engineering, grounding, token optimization, performance tuning, evaluation, and cost optimization
- Skills in SQL, Prompt Engineering, and JIRA Rovo
- Experience with cloud computing and cloud-native application development
- Experience with microservices architecture, APIs, and system integrations
- Knowledge of software testing, quality assurance, and Test Driven Development
- Understanding of secure software development, Responsible AI, governance, and enterprise technology standards
- Experience working in Agile delivery environments and Software Development Lifecycle frameworks
- Strong troubleshooting and root-cause analysis capabilities
- Experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, Microsoft Copilot Studio, or similar AI platforms
- Java development experience
- Experience developing AI agents, multi-agent systems, or conversational AI solutions
- Familiarity with vector databases and semantic search technologies
- Knowledge of Responsible AI, AI governance, model evaluation, and AI observability
- Experience deploying enterprise-scale Generative AI solutions in regulated industries such as banking or financial services
BMO Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BMO and has not been reviewed or approved by BMO.
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Parental & Family Support — Paid parental leave up to 16 weeks at full pay for all new parents, plus up to $20,000 for adoption, surrogacy, and fertility, and 10 days of paid backup childcare indicate robust family support. These elements stand out within BMO’s U.S. package.
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Retirement Support — A 401(k) design combining a core employer contribution with dollar-for-dollar matching up to a set portion of pay, plus immediate vesting on match and employee contributions, signals strong retirement funding. The core contribution’s three-year vesting is clearly defined.
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Leave & Time Off Breadth — Vacation accrual scales with grade and service, alongside 9–10 paid holidays and additional paid time off buckets (bereavement, school activities, civic duties, blood donation, volunteering). This breadth offers multiple avenues for time away beyond standard vacation.
BMO Insights
What We Do
At BMO, banking is our personal commitment to helping people at every stage of their financial lives. The truth is, people’s needs change: so we change too. But we never change who we are. Which means we’ll never waiver from providing our customers the best possible banking experience in the industry. Our incredible team of over 46,000 people is just the tip of the iceberg. You should get to know us. We’re here to help.
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