Enterprise Architect – AI and Data in Toronto

Hybrid 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:

• Defining the enterprise technology capability model and developing target and reference architectures, standards, and best practices by leveraging advanced AI and data technologies.
• Supporting technology governance processes, ensuring risk management and compliance for AI and data solutions.
• Leading the design of end-to-end AI solution reference architectures, integrating data architecture components such as data pipelines, model training, deployment, and monitoring.
• Applying innovative AI, data, and analytics technologies to enterprise platforms, aligning technical solutions with complex business and IT requirements.
• Developing and maintaining the technical roadmap for enterprise platform capabilities to realize the organization’s AI and data vision.
• Supporting initiatives related to data acquisition, processing, and utilization through the enterprise AI and data platform.
• Defining infrastructure requirements for AI systems; evaluating and selecting tools, platforms, and frameworks to ensure scalability, performance, and security.
• Serving as a technical thought leader in AI, machine learning, and data architecture, recognized for deep architectural expertise.
• Providing strategic advice and guidance to business units on the implementation of AI and data solutions.
• Ensuring project deliverables align with target state architecture and challenging architectural decisions where necessary to uphold governance standards.
• Identifying opportunities to enhance data architecture across diverse and complex business functions and processes.
• Building and maintaining strong relationships with internal stakeholders across enterprise, technology, and business groups to ensure adherence to architecture standards.
• Monitoring industry trends and emerging technologies to inform strategic decisions and recommend relevant innovations.
• Collaborating with business partners to analyze strategy and trends, defining principles and models that guide technology decisions.
• Acting as a trusted advisor, providing strategic input into business decisions and architectural direction.
• Delivering architectural recommendations and presentations to internal stakeholders and senior leadership.
• Leading and facilitating the design of technology projects and applications, acting as the primary subject matter expert.
• Reviewing technical work and providing mentorship to promote technical development and knowledge sharing.
• Creating and managing key architecture assets for designated portfolios and business domains.
• Ensuring robust architecture design and providing guidance to mitigate risks and avoid negative impacts on enterprise technology and budgets.
• Identifying and addressing risks in technology solutions that may affect project outcomes, guiding stakeholders toward proactive resolutions.
• Participating in system specification reviews to ensure requirements translate into valid software architecture.
• Conducting research and proof-of-concept initiatives to evaluate emerging technologies and recommend their application.
• Contributing to business case development by providing architectural insights and feasibility assessments.
• Promoting organizational capability by mentoring, sharing expertise, and building communities of practice.
• Staying current with industry trends through professional associations, learning communities, and continuous education.
• Providing architectural expertise and domain knowledge to advise senior leaders across the enterprise.
• Operating at a strategic level, applying creativity and expertise to solve complex, ambiguous challenges.
• Adapting architectural strategies in response to evolving business and technology trends.
• Performing additional responsibilities as required to support enterprise goals.

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 environments.
• Proven experience 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 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; Passion for technology &/or domains; 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.
• Possesses expert communication skills, both written and oral.
• Demonstrates solid consulting and client management skills.
• Is energetic, personable, and achievement- and outcome-oriented.
• Exhibits relationship management and managerial leadership abilities.
• Seasoned professional with a combination of education, experience and industry knowledge.

Salary: $85,500.00 - $185,000.00 Pay Type: Salaried

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.

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.