Agentic AI Lead at Royal Bank of Canada | CA | Rezi

Agentic AI Lead at Royal Bank of Canada

Agentic AI Lead

Royal Bank of Canada · CA

4 days ago

Agentic AI Lead

Royal Bank of Canada · CA

5 days ago
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About the Role

We are seeking an experienced Agentic AI Lead/Solutions Architect to drive artificial intelligence and machine learning initiatives across RBC GAM. This role requires a strategic leader who can architect Agentic AI solutions, mentor teams, and translate complex technical concepts into business value. The ideal candidate will have proven experience in Agentic AI engineering, full-stack development, and cross-functional project leadership.

Responsibilities

  • Lead R&D efforts in AI/ML applications for financial services, including document intelligence and automated decisioning systems
  • Architect end-to-end AI solutions from model design to scalable deployment using modern frameworks
  • Drive technical innovation through experimentation with cutting-edge methods including RAG, multi-agent systems, and transformer architectures
  • Establish and maintain deployment pipelines for AI model implementation and monitoring
  • Lead complex AI projects from conception to production, including solution architecture and system design
  • Coordinate cross-functional teams including ML engineers, backend developers, data scientists, and business stakeholders
  • Develop project roadmaps, load planning, and optimization strategies for AI implementations
  • Ensure smooth integration from prototyping to production environments
  • Mentor junior engineers and foster a culture of applied innovation and technical excellence
  • Guide team members in understanding AI/ML concepts and their business applications
  • Provide technical leadership in algorithm selection, model evaluation, and best practices
  • Support professional development through code reviews, technical writing, and knowledge sharing

Requirements

  • Expert-level Python proficiency
  • Experience with JavaScript, SQL, and web technologies
  • Experience with PyTorch, TensorFlow, Keras, HuggingFace Transformers, LangChain
  • Experience with FastAPI, Django, Flask, RESTful API design and development
  • Experience with PostgreSQL, data processing pipelines, ETL processes
  • Experience with NLP, computer vision, retrieval-augmented generation (RAG), multi-agent systems
  • 10+ years of professional software development or relevant research experience with strong Python background
  • 3+ years of hands-on AI/ML engineering experience in production environments
  • Proven track record of leading technical teams and complex AI projects
  • Experience with full-stack development and system integration
  • Background in mentoring and developing technical talent
  • Publications or research contributions in AI/ML conferences or journals (Nice to Have)
  • Experience in financial services or regulated industries (Nice to Have)
  • Experience with document processing, PDF parsing, and text extraction (Nice to Have)
  • Familiarity with prompt engineering and large language model optimization (Nice to Have)

Skills

  • Application Development
  • Application Integrations
  • Application Maintenance
  • Applications Architecture
  • Detail-Oriented
  • Enterprise Application Delivery
  • Group Problem Solving
  • Programming Languages
  • Software Development Life Cycle (SDLC)
  • System Applications
  • Python
  • JavaScript
  • SQL
  • Web technologies
  • PyTorch
  • TensorFlow
  • Keras
  • HuggingFace Transformers
  • LangChain
  • FastAPI
  • Django
  • Flask
  • RESTful API design
  • PostgreSQL
  • Data processing pipelines
  • ETL processes
  • NLP
  • Computer vision
  • Retrieval-augmented generation (RAG)
  • Multi-agent systems
  • Full-stack development
  • System integration
  • Prompt engineering
  • Large language model optimization

Location

  • RBC CENTRE, 155 WELLINGTON ST W:TORONTO
  • Toronto
  • Canada

Work Type

  • Full time
  • Salaried

Experience Level

  • 10+ years of professional software development or relevant research experience with strong Python background
  • 3+ years of hands-on AI/ML engineering experience in production environments

Benefits

  • Competitive total rewards package including performance bonuses, flexible benefits, and stock where applicable
  • Leadership opportunity to shape modern delivery practices and influence product strategy across the organization
  • Supportive leaders invested in your development and career advancement
  • Collaborative, high-performing team environment with a focus on innovation and continuous learning
  • Opportunity to do challenging work and make a tangible impact on products that serve millions of customers and strengthen communities

About the Company

  • 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.
  • Expand your limits and create a new future together at RBC.
  • Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.