Posted 2 days ago
Enterprise Architect – AI and Data
@ Bank of Montreal
Toronto, Ontario
Overview
Bank of Montreal is hiring an Enterprise Architect for AI and Data in its Technology group, a hybrid role with 2 days a week in the Toronto office. The role defines the enterprise AI and data architecture, sets standards and guidelines for machine learning and data platforms, and advises senior leaders on architectural direction. The posting states a salary of $85,500 to $185,000 per year and a Bachelor's or Master's degree with 10+ years of enterprise architecture experience.
Responsibilities:
- Define enterprise AI and data target and reference architectures and standards
- Lead design of end-to-end AI solution architectures, including pipelines, training and monitoring
- Support technology governance, risk management and compliance for AI and data solutions
- Advise business units and senior leaders on AI and data architecture
- Mentor technical staff and build communities of practice
Requirements summary:
- 10+ years of enterprise architecture experience
- Experience with Architecture Review Boards
- Production experience with Gen AI, LLMs or reinforcement learning
- Strong knowledge of ML frameworks, cloud platforms and MLOps
- Bachelor's or Master's degree in a related field
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · phenom
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-10-13
- Source record updated
- 2026-11-06
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | IT |
| Experience | 10+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (required) |
| Fields of study | Computer Science, Data Science, Engineering, Artificial Intelligence |
| Perks mentioned | Retirement plan, Tuition support, Performance bonus |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Bank of Montreal
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
We’re a bank, but there’s more to it than that. When you join BMO, it opens a world of opportunities. This is a team that's committed to helping you succeed – personally and professionally. Because at BMO, when you grow, we grow. You know your worth and so do we. That’s why we offer the right mix of learning programs, on-the-job experiences, and opportunities to build personal and professional connections – so you can build a meaningful career and thrive as a part of a winning culture. Sound like your kind of place? Then we should be co-workers.
- LinkedIn followers
- 529,147
- People associated on LinkedIn
- 59,168
- Reported office locations
- First Canadian Place, 100 King Street, Toronto, ON M5X 1A1, CA
- 111 W Monroe St, Chicago, IL 60603, US
- Business categories
- Wealth Management
- Finance
- Banking
- Financial Services
- Crowdfunding
- Other recorded names
- Bank of Montreal
- BMO
- Specialties
- Personal Banking
- Commercial Banking
- Wealth Management
- Capital Markets
- and Asset Management
- Profile identifies a recruitment agency
- No
- Reported total investment
- 8,114,072,573
Currency and observation date were not supplied; this is not a current valuation or a funding round.
We’re a bank, but there’s more to it than that. When you join BMO, it opens a world of opportunities. This is a team that's committed to helping you succeed – personally and professionally. Because at BMO, when you grow, we grow. You know your worth and so do we. That’s why we offer the right mix of learning programs, on-the-job experiences, and opportunities to build personal and professional connections – so…
| Field | Value |
|---|---|
| Industry | Financial Services |
| Company size | 10,001+ employees |
| Headquarters | Toronto, ON |
| Organization type | Public Company |
| Specialties | Personal BankingCommercial BankingWealth ManagementCapital Marketsand Asset Management |
| Open jobs on Jobsy | 945 |
| View page |
Application Deadline:
12/30/2026Address:
100 King Street WestJob Family Group:
TechnologyHybrid Work Model - 2 days/week in Toronto office. This role is not remote/virtual.
About this role:
Creates a visionary AI and Data architecture and contributes 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. Provides 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.
Responsible for:
- 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.
- 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.
- Collaborate with business partners to analyze strategy and trends, defining principles and models that guide technology decisions.
- 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.
- Conduct research and proof-of-concept initiatives to evaluate emerging technologies and recommend their application.
- 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.
- Operate at a strategic level, applying creativity and expertise to solve complex, ambiguous challenges.
- Adapt architectural strategies in response to evolving business and technology trends.
- Perform additional responsibilities as required to support enterprise goals.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Artificial Intelligence or related field.
- 10+ years of cumulative experience in Enterprise Architecture (application development, data architecture, AI/ML architecture).
- Experience with ARB (Architecture Review Board)
- Experience with Gen AI/ Agentic AI, LLMs, or reinforcement learning in production environments, designing 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 AWS cloud architecture or AI/ML.
- Hands-on Proficiency in Python, SQL, and other relevant programming languages.
- Familiarity with APIs, and microservices.
- Experience with implementing disruptive technologies impacting 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, architecture frameworks, methodologies, and tools.
- Demonstrates solid consulting and client management skills.
- Play an advisory role
Salary:
$85,500.00 - $185,000.00Pay Type:
SalariedThe 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.
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