Enterprise Architect - AI and Data (Toronto)

Enterprise Architect - AI and Data (Toronto)

03 Oct
|
Bank of Montreal
|
Toronto

03 Oct

Bank of Montreal

Toronto

Application Deadline:10/30/2026Address:100 King Street WestJob Family Group:TechnologyHybrid Work Model - 2 days/week in Toronto office. This role is not remote/virtual.Creates a visionary AI and Data architecture and contribute to organizational strategy to align business needs with technologies. Leads the creation of the strategic enterprise AI and Data architecture for BMO.

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. Define the enterprise technology capability model and develop target and reference architectures, standards, and best practices by leveraging advanced AI and data technologies.Support technology governance processes, ensuring risk management and compliance for AI and data solutions.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.Act as a trusted advisor, providing strategic input into business decisions and architectural direction.Deliver architectural recommendations and presentations to internal stakeholders and senior leadership.Lead and facilitate the design of technology projects and applications, acting as the primary subject matter expert.Review technical work and provide mentorship to promote technical development and knowledge sharing.Create and manage key architecture assets for designated portfolios and business domains.Ensure robust architecture design and provide guidance to mitigate risks and avoid negative impacts on enterprise technology and budgets.Identify and address risks in technology solutions that may affect project outcomes, guiding stakeholders toward proactive resolutions.Participate in system specification reviews to ensure requirements translate into valid software architecture.Contribute to business case development by providing architectural insights and feasibility assessments.Promote organizational capability by mentoring, sharing expertise, and building communities of practice.Stay current with industry trends through professional associations, learning communities, and continuous education.Provide architectural expertise and domain knowledge to advise senior leaders across the enterprise.Adapt architectural strategies in response to evolving business and technology trends.Qualifications:Bachelor’s or Master’s degree in Computer Science,



Data Science, Engineering, or related field.10+ years of cumulative experience in software development, data engineering, or AI/ML architecture.Preferred experience with generative AI, LLMs, or reinforcement learning in production environmentsProven experience designing and deploying AI/ML solutionsStrong knowledge of machine learning frameworks (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 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 solid consulting and client management skills.Salaries for part-time roles will be pro-rated based on number of hours regularly worked. 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. It calls on us to create lasting, positive change for our customers, our communities and our people. 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 recent 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.Accommodations are available on request for candidates taking part in all aspects of the selection process. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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📌 Enterprise Architect - AI and Data (Toronto)
🏢 Bank of Montreal
📍 Toronto

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