Principal Engineer, AI & ML Solutions

What is the Opportunity?

We are looking for a Principal Engineer, AI & ML Solutions to join our GFT team! In this role you will oversee machine learning programs and projects, manage resources, drive innovation, and collaborate across teams to enhance machine learning systems and deliver impactful results. You will direct the management of multiple teams in machine learning development, focusing on strategy implementation.

What will you do?

• Direct planning, execution, and oversight of machine learning programs and projects, ensuring alignment with organizational goals and delivering short‑ and long‑term impact on schedules, quality, compliance, and resource allocation.
• Manage and guide teams, including senior managers, to ensure effective leadership, operational efficiency, and adherence to organizational policies.
• Collaborate with cross‑functional teams and stakeholders to identify and develop business opportunities through AI technologies, while monitoring and optimizing machine learning systems.
• Lead the development and implementation of advanced machine learning algorithms and systems, addressing complex technical challenges and ensuring scalability and alignment with organizational strategies.
• Manage machine learning development initiatives of significant complexity, applying advanced technical expertise to solve abstract problems and making independent decisions across business units.
• Make independent decisions on program, technical, or operational strategy for the department, providing leadership, coaching, and mentorship to senior managers and managers.
• Drive innovation across areas of responsibility, identifying opportunities for operational changes and best practices to solve highly complex problems related to machine learning development.
• Lead 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 of 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?

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
• Leadership support through coaching and development opportunities.
• Opportunity 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.
• Flexible work/life balance options.
• Opportunities to take on challenging work.

Location

745 Thurlow Street, Vancouver, Canada