Senior Data Architect, Artificial Intelligence / AWS Cloud at Bank of Montreal

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

04 Apr, 26

Salary

176000.0

Posted On

04 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, AWS Cloud, Data Architecture, Machine Learning, Data Engineering, Python, SQL, GenAI, LLMs, Reinforcement Learning, MLOps, TensorFlow, PyTorch, Cloud Platforms, APIs, Microservices

Industry

Financial Services

Description

Application Deadline: 02/27/2026 Address: 100 King Street West Job Family Group: Technology Please note this is a Senior Architect role; AI Architectural experience is a must. Hybrid (2 days/week working in office downtown Toronto) 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. 15+ 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 3 years experience specific to AWS Cloud Hands on capability to code (at least with Python) 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 data architecture, 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: $94,600.00 - $176,000.00 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. 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. BMO is a leading bank driven by a single purpose: to Boldly Grow the Good in business and life. Everywhere we do business, we’re focused on building, investing and transforming how we work to drive performance and continue growing the good. Who we are We’re proud to be fueling growth and expanding possibilities for individuals, families and businesses. More than 12 million customers count on us for personal and commercial banking, wealth management and investment services. As the 8th largest bank in North America by assets, we provide personal and commercial banking, wealth management and investment services to more than 12 million customers. In Canada, the United States and across the globe, we’ll continue to build, invest and transform to drive performance that serves the good that grows.

Responsibilities

The Senior Data Architect will contribute to AI adoption and enterprise architecture, aligning business needs with technology. They will lead the design of end-to-end AI solution reference architectures and ensure systems are technically sound and well-integrated.