About The Position

What is the opportunity? 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. What will you do? 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 do you need to succeed? Must Have 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. Proven experience in architecting hybrid cloud solutions that leverage both on-premises and cloud services for compute and storage, aligned with performance, compliance and scalability goals. 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. Excellent written and verbal communication skills. Nice to Have Experience with Agentic Architectures Hands on experience in Data Engineering and applied Machine Learning. Degree in Computer Science or Engineering Experience with Azure Databricks, Kubernetes We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact Work in a dynamic, collaborative, progressive, and high-performing team A world-class training program in financial services Flexible work/life balance options Opportunities to do challenging work #LI-POST The Expected Salary Range For The Above Position Is $135, 000 - $225,000 Depending On Factors Including But Not Limited To The Candidate’s Experience, Skills, Registration Status; Market Conditions; And Business Needs. Rbc’s Compensation Philosophy And Principles Recognize The Importance Of A Highly Qualified Global Workforce And Plays A Critical Role In Attracting, Engaging And Retaining Talent That: Drives Rbc’sHigh Performance Culture Enables Collective Achievement Of Our Strategic Goals Generates Sustainable Shareholder Returns And Above Market Shareholder Value RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail

Requirements

  • 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.
  • Proven experience in architecting hybrid cloud solutions that leverage both on-premises and cloud services for compute and storage, aligned with performance, compliance and scalability goals.
  • 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.
  • Excellent written and verbal communication skills.

Nice To Haves

  • Experience with Agentic Architectures
  • Hands on experience in Data Engineering and applied Machine Learning.
  • Degree in Computer Science or Engineering
  • Experience with Azure Databricks, Kubernetes

Responsibilities

  • 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.

Benefits

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services
  • Flexible work/life balance options
  • Opportunities to do challenging work
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