3 Solution Architect Data Engineering jobs

What is the opportunity? As a Director of Enterprise Architecture, you will lead the design and implementation of scalable, secure, and AI-driven solutions aligned with RBC’s enterprise architecture. Key responsibilities include architecting AI-native systems (autonomous agents, multi-agent frameworks, ML pipelines) to enable intelligent automation, ensuring responsible AI adoption (governance, explainability, bias mitigation), and guiding RBC’s digital transformation. You’ll leverage expertise in OpenShift Container Platform (OCP), and Virtual Machine (VM)-based environments, and RBC’s internal IT systems while influencing stakeholders through RBC's Architecture Review Board (ARB) processes to deploy agentic AI systems compliantly and safely under Canadian financial regulations. What will you do? Lead end-to-end technical solution design for strategic initiatives, ensuring alignment with RBC’s enterprise standards, security guidelines,...

Machine Learning Engineer – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and...

Machine Learning Engineer – Biometrics (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both...