AI Engineer

RBC; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Total rewards program

Coaching & growth

Impact on sales

Dynamic team

Training program

Work-life balance

Career opportunities

Job summary

RBC Capital Markets is seeking an AI Engineer to advance Generative AI, neural networks, and transfer learning across Sales teams, delivering AI-powered solutions that enhance client engagement and deal intelligence.

The role is hands-on and production-focused; you will design end-to-end AI systems, deploy real-time insights, and monitor performance at scale, while mentoring teammates and guiding best practices within the DART team.

Qualifications

• PhD or Master's in CS/ML or equivalent hands-on experience.
• 2–5 years building DL/ML models in production environments.
• Advanced Python proficiency with Generative AI frameworks.
• Deep knowledge of retrieval-augmented generation (RAG) and agentic frameworks.
• Strong understanding of large language model architectures, inference, and deployment.
• Experience with Anthropic models (Claude) and embeddings/vector databases.
• ML experimentation, model evaluation, and monitoring in production.
• Familiarity with sales workflows and client intelligence use cases.
• AI-first mindset, curiosity about emerging AI capabilities.

Responsibilities

• Design and build agentic frameworks for sales use cases, including client intelligence gathering and deal tracking.
• Develop conversational AI systems to assist sales professionals in client interactions.
• Embed Generative AI tools into Sales platforms for seamless workflows.
• Architect end-to-end AI solutions with experimentation, evaluation, and production monitoring.

Skills

Deep Learning

Neural networks

Transfer learning

Sales domain knowledge

Code reviews & mentoring

CS fundamentals

Education

PhD in Computer Science / ML

Master's in CS/ML

Tools

Python

Generative AI frameworks

Claude / Anthropic

RAG

Production ML

Job description

AI Engineer, AidenSales

RBC Capital Markets is seeking an AI Engineer with deep expertise in Generative AI, neural networks, and transfer learning to support Sales teams with cutting-edge AI-powered solutions. You will lead the design and development of intelligent systems that enhance client engagement, deal intelligence, and sales productivity across Capital Markets.

Job Description

RBC Capital Markets is seeking an AI Engineer with deep expertise in Generative AI, neural networks, and transfer learning to support Sales teams with cutting-edge AI-powered solutions. You will lead the design and development of intelligent systems that enhance client engagement, deal intelligence, and sales productivity across Capital Markets.

The Capital Markets Data AI and Research Technology (DART) team is looking for a hands-on AI Engineer to drive Generative AI initiatives that empower our Sales organization. You will build and deploy AI solutions that give sales professionals real-time insights, automate routine tasks, and enable them to focus on client relationships and closing deals.

Hybrid Schedule: In-office 4 days per week

What will you do?

Design and build agentic frameworks that solve critical sales use cases including client intelligence gathering, pitch content generation, deal summarization, and real-time conversation analysis. Develop conversational AI systems that assist sales professionals in client interactions and help synthesize client intelligence across multiple data sources. Embed Generative AI tools into Sales platforms, enabling seamless workflows for prospect research, proposal generation, and deal tracking. Architect end-to-end AI solutions covering experimentation, model evaluation, and production monitoring to ensure sales tools perform reliably at scale. Guide the team on best practices, conduct code reviews, and mentor team members on Generative AI implementation.

What do you need to succeed?

Must-have

• A PhD or Master's degree in Computer Science, Machine Learning, Deep Learning, or equivalent hands-on experience.
• 2-5 years building Deep Learning or Machine Learning models in production environments.
• Advanced proficiency in Python and hands-on experience with Generative AI frameworks and architectures.
• Deep knowledge of retrieval-augmented generation (RAG), agentic frameworks, context and memory management, and tool/skills integration patterns.
• Strong understanding of large language model architectures, inference, fine-tuning, and model deployment.
• Experience with Anthropic models and Claude, including code generation capabilities. In-depth knowledge of embeddings, re-rankers, and vector databases.
• Expertise in ML experimentation, model evaluation, and monitoring in production. Strong foundation in algorithms, data structures, and distributed computing.
• Understanding of sales workflows, client intelligence use cases, or familiarity with how sales teams operate.
• Embraces an AI-first approach: Someone who actively incorporates AI tools and technologies into daily workflows to enhance productivity, streamline routine tasks, and drive efficiency. Demonstrates curiosity about emerging AI capabilities and applies them thoughtfully to deliver better outcomes for clients and internal stakeholders.

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, and stock where applicable.
• Leaders who support your development through coaching and meaningful opportunities for growth.
• The ability to make a lasting impact on how our Sales teams compete and win business at scale.
• Work in a dynamic, collaborative, and high-performing team tackling some of the most challenging AI problems in financial services sales.
• A world-class training program in financial services and AI best practices.
• Flexible work/life balance options and progressive career opportunities across RBC.
• Access to challenging work and the chance to build close relationships with Sales leadership and clients.

Job Skills

Active Learning, Agile Methodology, AI Agents, AI Concepts, AI Frameworks, Application Integrations, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Machine Learning (ML), Programming Languages, Python (Programming Language), Retrieval-Augmented Generation, Software Development Life Cycle (SDLC)

Additional Job Details

Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City: Toronto

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: CAPITAL MARKETS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2026-08-04

Application Deadline: 2026-08-29

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.