GenAI Software Engineering Lead
Top Benefits
About the role
Application Deadline: 11/29/2025
Address: 100 King Street West
Job Family Group: Technology
The Team We accelerate BMO’s AI journey by building enterprise-grade, cloud-native AI solutions. Our team combines engineering excellence with cutting-edge AI to deliver scalable, secure, and responsible solutions that power business innovation across the bank. We enable and accelerate our partners on their AI journeys across the enterprise, helping teams across BMO unlock value at scale. We are engineers, AI practitioners, platform builders, thought leaders, multipliers, and coders. Above all, we are a global team of diverse individuals who enjoy working together to create smart, secure, and scalable solutions that make an impact across the enterprise. Our ambition is bold: deploy our capital and resources to their highest and most profitable use through a digital-first operating model, powered by data and AI-driven decisions.
The Impact As a GenAI Software Engineer, you will play a pivotal role in shaping, delivering and maintaining agentic systems, integrating LLMs (Large Language Models) to automate workflows for our business processes and optimizing user experience. You will be hands-on in architecture design, engineering craftsmanship, and technical leadership across multiple high-impact capabilities.
Your work will directly advance BMO’s AI journey by:
- Defining production-grade solutions for AI/GenAI on cloud (Azure preferred; AWS and multi-cloud aware a bonus).
- Building reusable, secure, and observable components (automation workflows, AI and GenAI integration, Agentic AI solutions, data retrieval and RAG).
- Operationalizing LLMs and RAG with strong controls and Responsible AI guardrails.
- Contributing to platform roadmaps that enable faster delivery, lower risk, and measurable business outcomes.
Responsibilities
Engineering Craftsmanship:
- Responsible for developing automation workflows to improve business processes.
- Create AI and GenAI integrations for model serving and decision support.
- Design and develop agentic AI solutions using proven frameworks to perform multi-step tasks independently.
- Use vector databases and RAG techniques to allow context-aware AI outputs from stored knowledge.
- Review code, reduce technical debt, conduct robust testing and drive engineering quality.
- Ensure the product is secure and meets regulatory and privacy compliance requirements.
- Promote engineering best practices while mentoring engineers and support the growth of others through knowledge sharing and coaching.
Architectural Leadership:
- Develop and maintain product architecture blueprints and high-level designs, following architecture and integration framework provided by other teams.
- Ensure alignment with business, functional and non-functional requirements.
- Advocate for architectural integrity and feasibility across teams.
Customer-Centric Development:
- Collaborating with cross-functional teams - data scientists, data engineers, full stack development, infrastructure specialists to design and build agentic systems that enable scalable delivery of core AI solutions across the enterprise.
- Use rapid experimentation to validate architectural decisions.
Iterative Delivery:
- Embrace agile methodologies and incremental delivery.
- Navigate complexity and risk mitigation through action and evidence-based decisions.
Qualifications:
- Bachelor's or Master’s degree in Computer Science, Engineering, or related field.
- Typically 5–7 years of relevant experience in software architecture, engineering design and product development, with 1-2 years in GenAI/ Agentic AI automation.
- Hands-on experience with LLMs, prompt engineering techniques to fine-tune AI behavior. Deep knowledge in Python with clean, efficient coding. Experience in TypeScript or JavaScript a plus.
- Deep understanding of agentic frameworks like LangChain, LangGraph, Semantic Kernel or Microsoft Agent Framework. Ability to design multi-step AI workflows or chains, evals and integrate pre-built AI components into enterprise processes.
- Expert in API and cloud integration like RESTful API, FastAPI, JSON/XML handling and deploying automation workflows using Azure or AWS.
- Experience with cloud platforms (AWS, Azure) and CI/CD pipelines. Familiarity with SAFe, DevSecOps, and Agile practices.
- Advanced skills: detailed technical design, programming, application integration, test-driven development, SDLC, troubleshooting, and system integration.
- Intermediate skills: quality assurance, cloud computing, microservices, requirements analysis, adaptability, communication, collaboration, analytical problem-solving, data-driven decision making, technical leadership.
- Demonstrated technical proficiency through hands-on delivery of complex, scalable cloud-native applications.
- Excellent verbal and written communication, influencing, and cross-team collaboration skills.
NOTE - This is a hybrid position, with at least two days per week expected to be onsite in the office.
About Desjardins
Desjardins Group is the largest cooperative financial group in North America and the fifth largest cooperative financial group in the world, with assets of $435.8 billion as at March 31, 2024. It was named one of Canada's Best Employers by Forbes magazine and by Mediacorp. To meet the diverse needs of its members and clients, Desjardins offers a full range of products and services to individuals and businesses through its extensive distribution network, online platforms and subsidiaries across Canada. Ranked among the world's strongest banks according to The Banker magazine, Desjardins has some of the highest capital ratios and credit ratings in the industry and the first according to Bloomberg News.
GenAI Software Engineering Lead
Top Benefits
About the role
Application Deadline: 11/29/2025
Address: 100 King Street West
Job Family Group: Technology
The Team We accelerate BMO’s AI journey by building enterprise-grade, cloud-native AI solutions. Our team combines engineering excellence with cutting-edge AI to deliver scalable, secure, and responsible solutions that power business innovation across the bank. We enable and accelerate our partners on their AI journeys across the enterprise, helping teams across BMO unlock value at scale. We are engineers, AI practitioners, platform builders, thought leaders, multipliers, and coders. Above all, we are a global team of diverse individuals who enjoy working together to create smart, secure, and scalable solutions that make an impact across the enterprise. Our ambition is bold: deploy our capital and resources to their highest and most profitable use through a digital-first operating model, powered by data and AI-driven decisions.
The Impact As a GenAI Software Engineer, you will play a pivotal role in shaping, delivering and maintaining agentic systems, integrating LLMs (Large Language Models) to automate workflows for our business processes and optimizing user experience. You will be hands-on in architecture design, engineering craftsmanship, and technical leadership across multiple high-impact capabilities.
Your work will directly advance BMO’s AI journey by:
- Defining production-grade solutions for AI/GenAI on cloud (Azure preferred; AWS and multi-cloud aware a bonus).
- Building reusable, secure, and observable components (automation workflows, AI and GenAI integration, Agentic AI solutions, data retrieval and RAG).
- Operationalizing LLMs and RAG with strong controls and Responsible AI guardrails.
- Contributing to platform roadmaps that enable faster delivery, lower risk, and measurable business outcomes.
Responsibilities
Engineering Craftsmanship:
- Responsible for developing automation workflows to improve business processes.
- Create AI and GenAI integrations for model serving and decision support.
- Design and develop agentic AI solutions using proven frameworks to perform multi-step tasks independently.
- Use vector databases and RAG techniques to allow context-aware AI outputs from stored knowledge.
- Review code, reduce technical debt, conduct robust testing and drive engineering quality.
- Ensure the product is secure and meets regulatory and privacy compliance requirements.
- Promote engineering best practices while mentoring engineers and support the growth of others through knowledge sharing and coaching.
Architectural Leadership:
- Develop and maintain product architecture blueprints and high-level designs, following architecture and integration framework provided by other teams.
- Ensure alignment with business, functional and non-functional requirements.
- Advocate for architectural integrity and feasibility across teams.
Customer-Centric Development:
- Collaborating with cross-functional teams - data scientists, data engineers, full stack development, infrastructure specialists to design and build agentic systems that enable scalable delivery of core AI solutions across the enterprise.
- Use rapid experimentation to validate architectural decisions.
Iterative Delivery:
- Embrace agile methodologies and incremental delivery.
- Navigate complexity and risk mitigation through action and evidence-based decisions.
Qualifications:
- Bachelor's or Master’s degree in Computer Science, Engineering, or related field.
- Typically 5–7 years of relevant experience in software architecture, engineering design and product development, with 1-2 years in GenAI/ Agentic AI automation.
- Hands-on experience with LLMs, prompt engineering techniques to fine-tune AI behavior. Deep knowledge in Python with clean, efficient coding. Experience in TypeScript or JavaScript a plus.
- Deep understanding of agentic frameworks like LangChain, LangGraph, Semantic Kernel or Microsoft Agent Framework. Ability to design multi-step AI workflows or chains, evals and integrate pre-built AI components into enterprise processes.
- Expert in API and cloud integration like RESTful API, FastAPI, JSON/XML handling and deploying automation workflows using Azure or AWS.
- Experience with cloud platforms (AWS, Azure) and CI/CD pipelines. Familiarity with SAFe, DevSecOps, and Agile practices.
- Advanced skills: detailed technical design, programming, application integration, test-driven development, SDLC, troubleshooting, and system integration.
- Intermediate skills: quality assurance, cloud computing, microservices, requirements analysis, adaptability, communication, collaboration, analytical problem-solving, data-driven decision making, technical leadership.
- Demonstrated technical proficiency through hands-on delivery of complex, scalable cloud-native applications.
- Excellent verbal and written communication, influencing, and cross-team collaboration skills.
NOTE - This is a hybrid position, with at least two days per week expected to be onsite in the office.
About Desjardins
Desjardins Group is the largest cooperative financial group in North America and the fifth largest cooperative financial group in the world, with assets of $435.8 billion as at March 31, 2024. It was named one of Canada's Best Employers by Forbes magazine and by Mediacorp. To meet the diverse needs of its members and clients, Desjardins offers a full range of products and services to individuals and businesses through its extensive distribution network, online platforms and subsidiaries across Canada. Ranked among the world's strongest banks according to The Banker magazine, Desjardins has some of the highest capital ratios and credit ratings in the industry and the first according to Bloomberg News.