Full Stack Engineering Lead

Address:

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

The Team:

We accelerate BMOs AI journey by buildingenterprise-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 adigital-first operating model powered bydata and AI-driven decisions.

Position Overview:

As aFull 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 BMOs AI journey by:

• Definingproduction-grade solutionsfor AI/GenAI on cloud (Azure preferred; AWS and multi-cloud aware a bonus).

• Buildingreusable secure and observable components(APIs SDKs microservices pipelines).

• OperationalizingLLMs and RAGwith strong controls andResponsible AI guardrails.

• Contributing toplatform roadmapsthat 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:

• Bachelors or Masters degree in Computer Science Engineering or related field.

• Typically 57 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 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.

The above represents BMO Financial Groups 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 Groups expected target for the first year in this position.

BMO Financial Groups 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: 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. Well 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 well help you gain valuable experience and broaden your skillset.

To find out more visit us at is committed to an inclusive equitable and accessible workplace. By learning from each others 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.