• Manage and mentor a team of AI engineers across evaluation, prototyping, and tooling work
• Lead hands-on technical evaluations of frontier AI capabilities, including agentic systems, multimodal models, reasoning systems, and AI development tooling
• Build working prototypes that test capabilities against real business scenarios and enterprise constraints, including security, data governance, and integration requirements
• Establish and maintain sandbox environments for rapid evaluation, validated with risk and security, activated on demand
• Build and operate the tooling that supports the evaluation pipeline: intake, triage, design, execution, and results review
• Partner with liaisons in security, architecture, and risk to embed enterprise constraints into evaluation design from the start, not as an afterthought
• Translate technical findings into clear, evidence-backed recommendations that business-line leaders can act on
• Represent the engineering perspective in Radar publications, field work sessions, and executive briefings
• Ensure evaluations are reproducible: methodology, test scenarios, data, and results documented to a standard that a peer could independently assess

• 8+ years of software engineering experience with 3+ years in a technical lead or engineering management role
• Practical experience building and evaluating AI systems, including LLM-based applications, agentic pipelines, and RAG architectures
• Comfort working at the frontier: you follow model releases, track agentic frameworks, and have opinions about what matters and what is hype
• Strong engineering judgment: you know when to build a prototype in a day and when depth is warranted
• Ability to communicate technical findings in plain language to non-technical stakeholders
• Experience working in or alongside highly regulated environments, with direct exposure to security, compliance, or governance constraints

• Experience evaluating or benchmarking AI models and systems against defined success criteria
• Background in financial services
• Familiarity with enterprise integration patterns, data platforms, or platform engineering
• Public writing, presentations, or open-source contributions in the AI space

​What's in it for you?

• 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
• Opportunities to do challenging work.

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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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.