Final date to receive applications:
02/27/2026Address:
100 King Street WestJob Family Group:
TechnologyLocation:
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 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/ Gen Ops 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, Node.js, React, Figma for UI/UX).
Experience with cloud platforms (AWS, Azure) and CI/CD pipelines. Familiarity with SAFe, Dev Ops, 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…
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