AI Engineer

Job Description

What is the opportunity?
Join RBC's Retail Investments team at a pivotal moment as we embed AI into how we serve and advise our clients. In this role, you'll shape the next generation of intelligence powering digital investing experiences for millions of Canadians. You'll work end‑to‑end: from problem framing and data discovery through to experimentation, deployment, and continuous optimization in production.

You'll collaborate closely with product, engineering, and business partners who are eager to use AI responsibly and at scale, giving you both impact and sponsorship. You'll have access to rich datasets, modern tooling, and strong cloud and MLOps capabilities, while still having the autonomy to propose new approaches and influence our roadmap.

What will you do?

• In this role, you will be responsible for designing, building, and operating AI solutions that power RBC Retail Investments' digital experiences.
• Partner with product, advisors, and technology teams to translate investment and client problems into AI/ML use cases.
• Develop, test, and deploy models and LLM‑based solutions (e.g., personalization, recommendations, insight generation, workflow automation) using modern cloud and MLOps practices.
• Work end‑to‑end on the lifecycle from data exploration and feature engineering through to monitoring, performance tuning, and continuous improvement in production.
• Embed responsible AI practices by focusing on fairness, explainability, compliance, and client trust.
• Contribute to our AI platform and engineering standards, reusable components, and best practices to accelerate future use cases.
• You'll spend most of your time hands‑on with data, code, and partners to deliver AI that meaningfully improves client investing outcomes.

What do you need to succeed?

Must-have

• Strong AI/ML engineering skills – 3+ years building and deploying models or LLM‑based solutions in production (Python, SQL, model serving, monitoring).
• Solid software engineering foundations – clean code, testing, version control, CI/CD, and working in cloud environments (e.g., Azure/AWS/GCP).
• End‑to‑end data & ML lifecycle experience – from problem framing and data discovery through feature engineering, training, evaluation, and MLOps.
• Applied NLP/LLM experience – building use cases such as recommendations, summarization, Q&A, or workflow automation using modern AI tooling.
• Collaborative mindset & communication – ability to partner with product, business, risk, and technology teams and explain complex ideas simply.

Nice-to-have

Experience in wealth management, retail investing, or other regulated financial domains.

• Hands‑on work with LLM ecosystems – RAG, vector databases, prompt engineering, guardrails, and evaluation frameworks.
• Background in experimentation and measurement – A/B testing, online metrics, causal inference, or uplift modelling.
• Familiarity with modern data & ML platforms – e.g., Databricks, Kubernetes, feature stores, or event‑driven architectures.

What's in it for you?

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
• Opportunities to do challenging work.

#LI-Post

#LI-PK

#TECHPJ

Job Skills

Application Development, Application Integrations, Application Maintenance, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC), System Applications

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

Application Deadline:

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

Inclusion and Equal Opportunity Employment

At 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.

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