Full Stack Engineering Lead

Location: Hybrid Toronto (2 days/week in office)

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.

Position Overview:
As a Full Stack Engineering Lead, you will play a pivotal role in shaping, delivering and maintaining an innovative AI/Gen AI platform to business stakeholders. 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 (APIs, SDKs, microservices, pipelines).
• 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.

Key Responsibilities:
Architectural Leadership:

• Develop and maintain product architecture blueprints and high-level designs.
• Ensure alignment with business, functional and non-functional requirements.
• Advocate for architectural integrity and feasibility across teams.

Engineering Craftsmanship:

• Responsible for developing, delivering, and maintaining an innovative AI/Gen AI platform that serves AI-driven predictions and insights to business stakeholders.
• Contribute directly to frontend and backend design, configuration, and code.
• Create LLMOps/ GenOps pipelines for deployment, inference and monitoring.
• 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 fostering a culture of continuous learning and improvement.

Customer-Centric Development:

• Collaborating with cross-functional teams - data scientists, data engineers, full stack development, infrastructure specialists to design and build key front-end and back-end capabilities 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 & Experience:

• 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.
• Proficiency in modern programming languages and integration frameworks (e.g. RESTful API, FastAPI, Python, Java, .NET, , React, Figma for UI/UX).
• Experience with cloud platforms (AWS, Azure) and CI/CD pipelines. Familiarity with SAFe, DevOps, and Agile practices.
• Advanced skills: programming, application integration, test-driven development, SDLC, troubleshooting, 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 stakeholder management skills.

Preferred Skills:

• Experience in AI/ML product development or analytics platforms.
• Knowledge of enterprise integration patterns and microservices architecture.
• Hands-on experience with containerization (Docker, Kubernetes).

What We Offer:

• Opportunity to drive digital and AI transformation in a forward-thinking, innovative banking environment.
• Commitment to professional growth, continuous learning, and career development.
• Collaborative culture focused on diversity, inclusion, and innovation.

Salary:
$75, $141,900.00

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:

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

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.