Associate Director - Data & AI Solutions Architect
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Key skills for this role
About the Role
RBC Capital Markets is hiring a Data & AI Solution Architect to design secure, scalable data and AI solutions for investment banking and global markets. The role requires expertise in agentic architectures, Kubernetes, and AI governance.
Key Skills for This Role
Responsibilities
- Lead the design of end to end technical solution architecture for complex, high impact technology initiatives
- Work directly with product teams to capture detailed requirements and develop end to end solution architecture specifications covering functional and non functional aspects
- Collaborate with Enterprise Architecture, Data & AI governance teams to ensure alignment with enterprise data strategy, AI governance frameworks, security policies, compliance, and architecture standards
- Partner with engineering teams to validate that delivered solutions adhere to prescribed architecture specifications
- Present architecture artifacts to technical and non technical stakeholders
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 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
Full Job Posting
Opportunity Overview
- Capital Markets Quantitative & Technology Services Data AI and Research Technology (DART) team is hiring a Data & AI Solution Architect.
- 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.
What Will You Do
- Leads the design of end to end technical solution architecture for complex, high impact technology initiatives.
- Work directly with product teams to capture detailed requirements and develop end to end detailed solution architecture specifications.
- Collaborate with Enterprise Architecture, Data & AI governance teams to ensure full alignment 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.
Must Have
- 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 Have
- Degree in Computer Science or Engineering.
- Experience building technology solutions for investment banks, hedge funds, asset managers or other financial institutions.
- Excellent written and verbal communication skills.
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