Software Engineer at Bree developing infrastructure for data - intensive systems in Canada. Responsible for maintaining reliability, scalability, and efficiency of the systems.
About the role
- Principal Engineer overseeing AI & ML solutions development at RBC. Leading cross-functional collaboration and managing machine learning programs for innovative IT solutions.
Responsibilities
- Oversees machine learning programs and projects, managing resources, driving innovation, and collaborating across teams
- Directs the management of multiple teams in machine learning development, focusing on strategy implementation
- Directs the planning, execution, and oversight of machine learning programs and projects
- Ensures alignment with organizational goals and delivers both short and long term impact on schedules, quality, compliance, and resource allocation
- Manages and guides teams, including senior managers and managers
- Collaborates with cross functional teams and stakeholders to identify and develop business opportunities through AI technologies
- Leads the development and implementation of advanced machine learning algorithms and systems
- Makes independent decisions on program, technical or operational strategy for the department
- Sets strategic direction for the department or area receiving high level direction from senior leaders
- Drives innovation across areas of responsibility, solving complex problems related to machine learning
Requirements
- 10+ years software or platform engineering experience
- 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
- Must have experience with RAG systems and vector search, embeddings, reranking, and grounding strategies
- Practical understanding of LLM application development, structured outputs, prompt and tool calling, orchestration patterns
- Experience with AI evaluation, test harnesses, regression testing, and lifecycle management for prompts and models
- Knowledge in Observability for AI systems, tracing, monitoring, alerting, and cost controls
Benefits
- 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
- Flexible work/life balance options
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