GenAI Software Engineer

BMO Financial; Toronto; On-site; CAD 75,000 - 142,000; Full time

Job summary

A leading financial institution in Toronto is seeking a GenAI Software Engineer to develop and implement scalable AI solutions. The ideal candidate will have 5–7 years of experience in software architecture, hands-on expertise with LLMs, and a strong foundation in Python. This hybrid position requires collaboration with cross-functional teams to design cloud-native AI systems and optimize business workflows.

Benefits

In-depth training and coaching

Flexible work environment

Opportunities for growth and impact

Qualifications

• Typically 5–7 years of relevant experience in software architecture, engineering design and product development.
• Hands-on experience with LLMs and Agentic AI automation.
• Deep knowledge in Python with clean and efficient coding.

Responsibilities

• Develop automation workflows to improve business processes.
• Create AI and GenAI integrations for model serving.
• Collaborate with cross-functional teams to design scalable AI solutions.

Skills

LLMs and prompt engineering

Python

API integration

Agile methodologies

Cloud platforms

Education

Bachelor's or Master’s degree in Computer Science, Engineering, or related field

Tools

Azure

AWS

CI/CD pipelines

Job description

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.

Salary : $75,900.00 - $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 for the first year in this position.

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.