Senior AI & ML Solutions Architect — Product Lead

RBC

Vancouver

On-site

CAD 150,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Bonuses
Flexible benefits
Stock options

Job summary

RBC is seeking a Principal Engineer, AI & ML Solutions, to build a new AI product from the ground up within the Global Functions Technology (GFT) team in Vancouver. You will lead cross-functional teams, drive innovation, and guide ML initiatives to deliver high-impact results.

The role requires 10+ years in software/platform engineering with AI/ML focus, deep systems knowledge, and hands-on data engineering experience with Python, PySpark, Databricks, Airflow, Kafka, and Snowflake.

Qualifications

  • 10+ years software or platform engineering experience with AI/ML focus.
  • Strong knowledge of algorithms, data structures, systems engineering, reliability and debugging.
  • Hands-on data engineering platforms/tools: Python, PySpark, Databricks, Airflow, Kafka, Snowflake.

Responsibilities

  • Direct planning, execution, and oversight of new AI product development and resource allocation.
  • Lead multiple teams and senior managers to ensure effective leadership and adherence to policies.
  • Collaborate with cross-functional teams to identify business opportunities via AI technologies and monitor ML systems.
  • Lead development and implementation of advanced ML algorithms with scalable alignment to strategy.
  • Drive independent decision-making on program and technical strategy across units.
  • Provide leadership and mentorship to managers and senior staff.
  • Drive innovation and identify operational improvements in ML development.
  • Foster cross-functional collaboration to drive business outcomes.

Skills

AI/ML infra
API platform eng
distributed systems
Python
PySpark
Databricks
Airflow
Kafka
Snowflake
Node.js
Apigee
RAG systems
vector search
prompting

Tools

Databricks
Airflow
Kafka
Snowflake

Job description

RBC is seeking a Principal Engineer, AI & ML Solutions, to build a new AI product from the ground up within the Global Functions Technology (GFT) team in Vancouver. You will lead cross-functional teams, drive innovation, and guide ML initiatives to deliver high-impact results.

The role requires 10+ years in software/platform engineering with AI/ML focus, deep systems knowledge, and hands-on data engineering experience with Python, PySpark, Databricks, Airflow, Kafka, and Snowflake.

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