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Principal Engineer, AI & ML Solutions

Job in Vancouver, BC, Canada
Listing for: Socket.dev
Full Time position
Listed on 2026-09-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 240000 CAD Yearly CAD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Job Description

We are looking for a Principal Engineer, AI & ML Solutions, to join our Global Functions Technology (GFT) team! In this role you'll lead the building of a new AI product from the ground up managing resources, driving innovation, and collaborating across teams to deliver impactful results. You'll direct the management of multiple teams in machine learning development, focusing on strategy implementation.

GFT is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us!

What will you do?
  • Directs the planning, execution, and oversight of new AI product, ensuring alignment with organizational goals and delivering both short and long term impact on schedules, quality, compliance, and resource allocation.
  • Manages and guides teams, including senior managers to ensure effective leadership, operational efficiency, and adherence to organizational policies and procedures.
  • Collaborates with cross functional teams and stakeholders to identify and develop business opportunities through the application of artificial intelligence technologies, while monitoring and optimizing machine learning systems.
  • Leads the development and implementation of advanced machine learning algorithms and systems, addressing complex technical challenges and ensuring their scalability and alignment with organizational strategies.
  • Manages machine learning development initiatives of significant complexity, applying advanced technical expertise to solve abstract problems, and making independent decisions across business units.
  • Makes independent decisions on program, technical or operational strategy for the department, providing leadership, coaching and mentorship through senior managers and managers. Sets strategic direction for the department or area receiving high level direction from senior leaders.
  • Drives innovation across areas of responsibility identifying opportunities for making operational changes and practices, solving highly complex problems broadly related to machine learning development.
  • Leads cross functional collaboration efforts, fostering strong internal relationships across the organization and external relationships to drive business outcomes.
What do you need to succeed?
  • 10+ years software or platform engineering experience, with at least 5 years focused on AI/ML infrastructure, API platform engineering, or large-scale distributed systems
  • Strong knowledge of algorithms and data structures, plus systems engineering fundamentals, reliability, performance, and debugging.
  • Hands on experience with data engineering platforms and tools, commonly including Python, PySpark, Databricks, Airflow, Kafka, Snowflake, and modern data integration patterns.
  • Experience building production services and APIs, including service design, authentication and authorization, and integration patterns, Node.js and Apigee are a plus.
  • Practical experience delivering AI powered systems, including one or more of:
  • RAG systems and vector search, embeddings, reranking, and grounding strategies
  • LLM application development, structured outputs, prompt and tool calling, orchestration patterns
  • AI evaluation, test harnesses, regression testing, and lifecycle management for prompts and models
  • Observability for AI systems, tracing, monitoring, alerting, and cost controls
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…
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