Associate Director - Data & AI Solutions Architect

RBC • Toronto, ON

2d • Onsite

About The Position

Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is looking to hire a Data & AI Solution Architect to design secure, scalable and cost-effective data & AI solutions for building Data Products, Signals and AI Agents for Investment Banking, Global Markets, and Investment Research.

Requirements

• Proven experience in architecting agentic architectures, including multi agent systems, MCP integrations and autonomous execution workflows.
• Strong expertise in Kubernetes, CPU/GPU resource management, deployment architecture capacity planning , scalability ,observability and performance optimization for AI/Agent workloads.
• 5+ years’ industry experience, including 2 years as a Solutions Architect focused on large scale Data and AI projects and 3 Years experience as a Software Engineer.
• Solid experience collaborating with Engineering teams, Product and Program management, Data and AI governance groups.
• Strong Proficiency in Python, SQL, Identity and Access management solutions.

Nice To Haves

• Degree in Computer Science or Engineering
• Experience building technology solutions investment banks , hedge funds , asset managers or other financial institutions.
• Excellent written and verbal communication skills.

Responsibilities

• Leads the design of end-to-end technical solution architecture for complex, high impact technology initiatives, ensuring alignment with organizational strategies and fosters collaboration to deliver solutions.
• Leads architecture projects of significant complexity, applying advanced expertise and knowledge to deliver impactful results.
• Work directly with the product teams to capture detailed requirements and develop end- to end detailed solution architecture specifications covering both functional and non-functional aspects of the product.
• Collaborate with Enterprise Architecture, Data & AI governance teams to ensure full alignment of solution architecture with enterprise data strategy, AI governance frameworks, security policies, compliance and architecture standards.
• Partner with engineering teams to validate that the delivered solution is as per the prescribed architecture specification.
• Present architecture artifacts to technical and non-technical stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: High school or GED