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Description

This role at RBC involves leading the deployment and operationalization of advanced machine learning and Generative AI (GenAI) solutions within the Security Insights and AI (SIAI) team. The focus is on leveraging ML and Big Data technologies to predict behaviors and enable proactive threat detection and response against escalating global digital threats. The position also contributes to the development of next-generation autonomous/semi-autonomous AI platforms by integrating large language models (LLMs) and GenAI to enhance security controls, operational efficiency, and regulatory compliance.

What We're Looking For

Engineer and maintain scalable data pipelines and workflows using PySpark, AWS SageMaker, Airflow, JupyterHub, RunAI.,Optimize Spark job performance through advanced tuning, resource management, and cost-efficient scalability.,Deploy batch and real-time inference models with robust monitoring.,Deploy, manage, and optimize ML and Agentic applications across multiple platforms like Cloudera Data Lake, AWS, OpenShift Container Platform (OCP), utilizing Helios on Actions CI/CD pipeline.,Build GenAI solutions using LLMs and RAG systems (OpenAI, Cohere, Claude, Llama), vector search (pgvector, Milvus, Pinecone), and advanced context engineering pipelines (LangChain, Semantic Kernel).,Apply and advocate for best practices in secure coding and MLOps CI/CD automation (Docker, Kubernetes, OpenShift, GitHub Actions, Jenkins), traceability (Langfuse), and observability (Prometheus, Grafana).,Contribute to code reviews, collaborate with data scientists, various engineers (front/backend, ML), and maintain clear technical documentation.,Champion best practices in AI safety, privacy, regulatory compliance, and autonomous system guardrails, including model monitoring, fallback mechanisms, and secure deployment in regulated environments.

Ideal Candidate

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Hard Skills

Python
PySpark
Unix Scripting
SQL
PyTorch
Spark
Databricks
Airflow
Snowflake
Postgres
MongoDB
REST
GraphQL
FastAPI
Django
Machine Learning (ML)
Deep Learning
Agentic AI
Agent Orchestration
Data preprocessing
Image processing
Hyperparameter optimization
Code optimization
Feature importance analysis
Transfer learning
Anomaly/Outlier detection
CI/CD
LLMs
RAG systems
LangChain
CrewAI
AutoGen
Vector databases (pgvector, Milvus, Pinecone, FAISS)
HuggingFace
DeepSpeed
Triton
ONNX
AWS (Lambda, SageMaker, Bedrock)
LangGraph
N8N
Grafana
Prometheus
OpenTelemetry
Docker
Kubernetes
OpenShift
GitHub Actions
Jenkins
Langfuse
Big Data Management
Data Mining
Data Science
Predictive Analytics
Programming Languages
GenAI

Soft Skills

Collaboration
Progressive thinking
Problem-solving
Attention to regulatory compliance
Advocacy for best practices
Communication
Leadership
Innovation

Work Hours

37.5 hours/week

Benefits

Comprehensive Total Rewards Program (bonuses, flexible benefits, competitive compensation, commissions, and stock where applicable)
Leaders who support development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
World-class training program in financial services
Opportunities for challenging work
Opportunities to take on progressively greater accountabilities
Opportunities to build close relationships with clients
Access to a variety of job opportunities across business and geographies

Also Available At

About the Company

R

Royal Bank of Canada

Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. As Canada's largest bank, it provides personal and commercial banking, wealth management, and capital markets services to over 17 million clients worldwide.

Purpose-driven
Inclusive
Innovative
Collaborative
Professional
View all jobs at Royal Bank of Canada

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