Artificial Intelligence & Data Architect (Developer)

BMO; Toronto; Hybrid; CAD 86,000 - 185,000; Full time

Benefits offered by this job

Health Insurance

Tuition Reimbursement

Life Insurance

Retirement Savings Plan

Job summary

BMO Financial Group seeks an experienced hands-on Architect to lead end-to-end AI solution architectures in a hybrid Toronto environment. You will design data pipelines, model training, deployment, and monitoring, while aligning AI initiatives with business goals and governance standards.

Ideal candidates have 10+ years in software/data/AI roles, strong AWS experience, and proven production-grade AI delivery with Python and ML frameworks.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or Engineering.
• 10+ years combined experience in software development, data engineering, architecture and AI.
• 5 years experience as a Data Architect.
• 2+ years delivering AI architectures in production.
• 3 years experience with AWS cloud.
• Hands-on capability to code (Python).
• Production-grade AI solutions experience.
• Experience with GenAI, LLMs, or reinforcement learning in production.

Responsibilities

• Lead end-to-end AI solution reference architectures, incl. data pipelines, model training, deployment, and monitoring.
• Apply AI, data, and analytics technologies to meet complex IT requirements.
• Develop and maintain the technical roadmap for enterprise AI and data platform capabilities.
• Define infrastructure requirements for AI systems; evaluate tools and frameworks for scalability and security.
• Provide strategic guidance to business units on AI and data solution implementation.
• Ensure alignment with governance standards and target state architecture.
• Collaborate with stakeholders to evolve architecture standards across functions.

Skills

Hands-on coding (Python)

AI Architecture

Data Architecture

SDLC

Machine Learning

Cloud platforms (AWS/Azure/GCP)

Leadership / Stakeholder collaboration

Education

Bachelor’s or Master’s in CS/Engineering/Data Science

Tools

TensorFlow

PyTorch

AWS

Azure

GCP

MLOps

Job description

Please note this is a hands‑on Architect role; hands on coding experience is a must. Hybrid (2 days/week working in office downtown Toronto).

MUST HAVE: Architecture experience, AWS Cloud, production‑grade Artificial Intelligence experience, Hands‑on experience coding, SDLC, Data Architecture.

• Contributes to AI Adoption and Enterprise Architecture from an AI and Data architecture perspective, while bringing their hands on Engineering skills to align business needs with technologies. Partners with internal stakeholders to define the technology capabilities, principles, standards, and guidelines regarding AI including machine learning and data architecture. Provide expert advice regarding AI and Data architecture in critical programs and initiatives. Validates solution architecture for adherence to defined policies, standards and guidelines including regulatory directives. Partners with broader internal stakeholders to define architectural possibilities and futures. Works with business and development teams to recommend processes or system design enhancements. Ensures that systems are functionally appropriate, technically sound, and well‑integrated.
  • Lead the design of end‑to‑end AI solution reference architectures, integrating data architecture components such as data pipelines, model training, deployment, and monitoring.
  • Apply innovative AI, data, and analytics technologies to enterprise platforms, aligning technical solutions with complex business and IT requirements.
  • Develop and maintain the technical roadmap for enterprise platform capabilities to realize the organization’s AI and data vision.
  • Support initiatives related to data acquisition, processing, and utilization through the enterprise AI and data platform.
  • Define infrastructure requirements for AI systems; evaluate and select tools, platforms, and frameworks to ensure scalability, performance, and security.
  • Serve as a technical thought leader in AI, machine learning, and data architecture, recognized for deep architectural expertise.
  • Provide strategic advice and guidance to business units on the implementation of AI and data solutions.
  • Ensure project deliverables align with target state architecture and challenge architectural decisions where necessary to uphold governance standards.
  • Identify opportunities to enhance data architecture across diverse and complex business functions and processes.
  • Build and maintain strong relationships with internal stakeholders across enterprise, technology, and business groups to ensure adherence to architecture standards.
  • Monitor industry trends and emerging technologies to inform strategic decisions and recommend relevant innovations.
  • Conduct research and proof‑of‑concept initiatives to evaluate emerging technologies and recommend their application.
  • Perform additional responsibilities as required to support enterprise goals.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering.
• 10+ years of combined experience in software development, data engineering, architecture and Artificial Intelligence.
• 5 years experience as a Data Architect
• 2+ years experience delivering AI Architectures in production
• 3 years experience specific to AWS Cloud
• Hands on current capability to code (at least with Python)
• Production-grade experience with AI solutions
• Experience with GenAI, LLMs, or reinforcement learning in production environments and AI solution delivery.
• Proven experience architecting and deploying AI/ML solutions
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch), cloud platforms (e.g., Azure, AWS, GCP), and MLOps tools. Preferred certifications in cloud architecture or AI/ML.
• Proficiency in Python, SQL, and other relevant programming languages.
• Familiarity with APIs, and microservices.
• Experience with implementing disruptive technologies in an organization;
• Experience with Complex & high volume cloud implementations;
• Possesses knowledge in financial industry business knowledge as well as knowledge of major data consumption use cases in financial services.
• Exhibits knowledge of data architecture concepts and practices.
• Demonstrates knowledge of architecture frameworks, methodologies, and tools.

Salary:

$85,500.00 - $185,000.00

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: https://jobs.bmo.com/global/en/Total-Rewards

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.