BMO's Applied AI transformation requires designing and enabling agentic workflows to deliver measurable business outcomes, operationalizing AI capabilities in customer and product journeys.
Requirements
- Familiarity with hybrid environments (cloud/on-prem) and federated systems.
- Experience with agentic systems and intelligent orchestration.
- Knowledge of BMO’s EAIS (Enterprise AI Services) framework.
- Communicate the various technical products and aspects of them, though mastery is not required
- Some tech experience (broadly defined)
Responsibilities
- Architect and implement intelligent workflows that integrate AI agents into business processes, aligning with user roles and service standards.
- Contribute to the design and deployment of federated and integrated service architectures, ensuring seamless orchestration across pods and platforms.
- Partner with teams in Model Safety, Infrastructure, Data, and Product to ensure cohesive delivery of AI solutions.
- Drive improvements in operational efficiency, personalization, and automation to enhance return on equity (ROE) and customer experience.
- Maintain clear documentation of workflows, integration points, and success metrics.
- Communicate effectively with stakeholders across Lines of Business (LoBs).
- Experience engaging with the LOB’s in order to prioritize use cases, determine the user stories (persona, role, task), handle onboarding to ARC products, identify and measure value of product usage, they plan and monitor value streams (e.g., if LOB X wants something, how do we measure the value and ensure that we continue to determine how much value the product is driving).
Other
- Hybrid (2-4 days/week work in the office)
- Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or related field. MBA preferred, awareness/knowledge of technical AI products is valued
- 5+ years of experience in service design, process engineering, or backend/data engineering.
- An awareness or experience working with technical roles, CIO operations. (bonus)
- SME with various LOBs including tools, platforms, data, and technologies related to them.
- Strong collaboration and communication skills, with the ability to work across diverse teams.
- Familiarity with strategic workforce planning and job architecture alignment.
