Agentic AI Engineer, AI Model Methodology

What is the opportunity?

We are looking for a highly motivated and technically skilled individual to join our team as an Agentic AI Engineer within the AiXel (AI Innovation-X (Centre of Excellence)) team under Group Risk Management. This is an excellent opportunity for a recent graduate or early-career professional who is eager to apply AI engineering skills in real-world, high-impact scenarios. In this role, you will work within the development team and collaborate closely with business stakeholders to build vertical AI applications that are deeply rooted in real business problems. You will contribute to the full development lifecycle, from initial ideation and proof of concept all the way into production, using cutting-edge generative AI and agentic AI technologies to drive innovations in risk management.

What will you do?

• Participate in the end-to-end development of high-impact agentic AI solutions, from idea design and PoC to production deployment and ongoing enhancement.
• Work closely with business users to deeply understand their workflows and challenges, translate business use cases into practical technical solutions, and iterate on solutions based on feedback.
• Design and implement agentic workflows, including multi-agent orchestration, tool-use patterns, and autonomous agent capabilities.
• Present technical solutions and project updates to both technical peers and business stakeholders.
• Continuously learn and keep up with the latest advancements in agentic AI, generative AI, and related technologies, sharing knowledge with the team.

Must-have

• Hands-on experience prototyping GenAI applications, including working with foundational LLMs (e.g., GPT, Claude models via API) and transformer models (e.g., Hugging Face Transformers); familiarity with agentic and GenAI frameworks and tools (e.g., LangChain, LangGraph), and vector databases (e.g., Weaviate, PGVector).
• Hands-on experience with prompt engineering, including designing and refining prompts to optimize LLM outputs, function calling, and structured output design.
• Hands-on experience developing modular, robust, and scalable software in Python 3.x.
• Knowledge of Model Context Protocol (MCP) and its role in enabling AI agents to interact with external tools and data sources.
• Knowledge of agent skills architecture and patterns for composing reusable, modular agent capabilities.
• Knowledge of modular RAG (Retrieval-Augmented Generation) and agentic system design.
• Knowledge of professional software engineering best practices across the software development lifecycle, including coding standards, testing methods, code reviews, and version control.
• Willingness and ability to quickly learn and adapt to new advancements in agentic AI and GenAI.
• Strong logical thinking skills and attention to detail.
• Effective communication skills and a collaborative, team-oriented attitude.
• A master's degree or higher in AI, computer engineering or a related field is preferred.

• Hands-on experience with MCP integration, agent skills development, and modular RAG implementation in agentic workflows.
• AI-native mindset: proficiency in applying AI-powered tools (e.g., AI coding assistants, AI-augmented research and writing tools) into day-to-day work.
• Knowledge of embedding model fine-tuning and LLM performance evaluation techniques.
• Experience deploying GenAI applications in production environments and supporting enterprise-scale use cases.
• Experience working in the financial industry or other regulated environments.
• Familiarity with financial risk management concepts.

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
• Opportunities to take on progressively greater accountabilities
• Opportunities to building close relationships with clients
• Access to a variety of job opportunities across business and geographies

Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Logical Data Modeling, Machine Learning (ML), Predictive Analytics, Programming Languages, Relationship Building

Additional Job Details

Address:

180 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-07

Application Deadline:

2026-05-31

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.

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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.