About the role
Job Description
As a Senior AI Application Developer at RBC, you will help build the next generation of ML, GenAi autonomous and semi-autonomous AI platform and solutions for Cyber, Fraud, Risk & Security. You’ll work alongside experienced engineers to design, develop, and deploy production-grade AI and ML systems, gaining exposure to large language models, machine learning, data engineering, and modern cloud technologies. With access to advanced AI tools and a collaborative environment, you’ll contribute to projects that drive detective/preventive controls, automation, increase operational efficiency, and support regulatory compliance.
- Design, build, and deploy robust scalable backend services for Agentic AI applications build using Python, LangChain, LangGraph, and related frameworks.
- Build AI solutions using LLMs and RAG systems (OpenAI, Cohere, Claude, Llama), vector search (pgvector, Milvus, Pinecone), and advanced context engineering pipelines (LangChain, Semantic Kernel) to ensure AI actions are context-aware, secure, and aligned with real-time enterprise data.
- Deploy, manage, and optimize ML/Agentic applications on OpenShift Container Platform (OCP), Amazon Elastic Kubernetes Services (EKS) using Helios on Actions CI/CD pipeline.
- Apply and advocated for best practices in secure coding and MLOps CI/CD automation (Docker, Kubernetes, OpenShift, GitHub Actions, Jenkins), traceability (Langfuse) and observability (Prometheus, Grafana).
- Develop and deploy APIs (REST, GraphQL, FastAPI, gRPC) ensuring high availability, scalability, resilience, and security.
- Engineer and maintain scalable data pipelines and workflows using PySpark, SageMaker, Airflow, JupyterHub, RunAI.
- Contribute to code reviews, collaborate with data scientists and engineers, front and backend engineers and ML engineers, and maintain clear technical documentation.
Must Have
- Bachelor’s degree (or equivalent experience) in Computer Science, Software Engineering, or a related field.
- 2–4 years of software engineering experience with Python, SQL; familiarity with PySpark is an asset.
- Hands-on experience deploying ML/AI solutions (LLMs, RAG, classical ML) into Production, including model fine-tuning and vector database use (pgvector, Milvus, Pinecone) and MLOps using PyTorch, TensorFlow, or HuggingFace.
- Strong Experience building data pipelines and APIs with Spark, Databricks, Airflow, SQL (Snowflake, Postgres), and NoSQL (MongoDB); experience with REST, GraphQL or FastAPI.
- Strong experience with modern MLOps/DevOps: Docker, Kubernetes, CI/CD pipelines (Github Actions, Helios), and Cloud/On-prem platforms (OCP, AWS, on-prem GPU etc.)
- Ability to independently deliver complex features and prototypes within aggressive timelines and contribute to team best practices.
Nice to Have
- Experience working with LLMs, RAG frameworks (LangChain, Semantic Kernel), or vector databases (pgvector, Milvus, Pinecone), LLM fine-turning (LoRA, PEFT), prompt-engineering, Model Context Protocol (MCP) and large-scale model deployment (HuggingFace, DeepSpeed, ONNX)
- Familiarity with AWS cloud environments services (Lambda, SageMaker, Bedrock, etc).
- Familiarity with workflow orchestration platforms Airflow, RunAI, N8N, Helios.
- Understanding of monitoring tools (Prometheus, Grafana), secure coding practices (SAST/DAST).
Job Skills
Apache Airflow, AWS AI Services, Back-End Development, Deep Learning, Docker (Software), Generative AI, Grafana, Machine Learning, Prometheus (Software), PySpark, Python (Programming Language), Red Hat OpenShift
Additional Job Details
Address:
16 YORK ST:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
TECHNOLOGY AND OPERATIONS
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-10-14
Application Deadline:
2025-12-05
Note**:** Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
I****nclusion and Equal Opportunity Employment
At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.
About the role
Job Description
As a Senior AI Application Developer at RBC, you will help build the next generation of ML, GenAi autonomous and semi-autonomous AI platform and solutions for Cyber, Fraud, Risk & Security. You’ll work alongside experienced engineers to design, develop, and deploy production-grade AI and ML systems, gaining exposure to large language models, machine learning, data engineering, and modern cloud technologies. With access to advanced AI tools and a collaborative environment, you’ll contribute to projects that drive detective/preventive controls, automation, increase operational efficiency, and support regulatory compliance.
- Design, build, and deploy robust scalable backend services for Agentic AI applications build using Python, LangChain, LangGraph, and related frameworks.
- Build AI solutions using LLMs and RAG systems (OpenAI, Cohere, Claude, Llama), vector search (pgvector, Milvus, Pinecone), and advanced context engineering pipelines (LangChain, Semantic Kernel) to ensure AI actions are context-aware, secure, and aligned with real-time enterprise data.
- Deploy, manage, and optimize ML/Agentic applications on OpenShift Container Platform (OCP), Amazon Elastic Kubernetes Services (EKS) using Helios on Actions CI/CD pipeline.
- Apply and advocated for best practices in secure coding and MLOps CI/CD automation (Docker, Kubernetes, OpenShift, GitHub Actions, Jenkins), traceability (Langfuse) and observability (Prometheus, Grafana).
- Develop and deploy APIs (REST, GraphQL, FastAPI, gRPC) ensuring high availability, scalability, resilience, and security.
- Engineer and maintain scalable data pipelines and workflows using PySpark, SageMaker, Airflow, JupyterHub, RunAI.
- Contribute to code reviews, collaborate with data scientists and engineers, front and backend engineers and ML engineers, and maintain clear technical documentation.
Must Have
- Bachelor’s degree (or equivalent experience) in Computer Science, Software Engineering, or a related field.
- 2–4 years of software engineering experience with Python, SQL; familiarity with PySpark is an asset.
- Hands-on experience deploying ML/AI solutions (LLMs, RAG, classical ML) into Production, including model fine-tuning and vector database use (pgvector, Milvus, Pinecone) and MLOps using PyTorch, TensorFlow, or HuggingFace.
- Strong Experience building data pipelines and APIs with Spark, Databricks, Airflow, SQL (Snowflake, Postgres), and NoSQL (MongoDB); experience with REST, GraphQL or FastAPI.
- Strong experience with modern MLOps/DevOps: Docker, Kubernetes, CI/CD pipelines (Github Actions, Helios), and Cloud/On-prem platforms (OCP, AWS, on-prem GPU etc.)
- Ability to independently deliver complex features and prototypes within aggressive timelines and contribute to team best practices.
Nice to Have
- Experience working with LLMs, RAG frameworks (LangChain, Semantic Kernel), or vector databases (pgvector, Milvus, Pinecone), LLM fine-turning (LoRA, PEFT), prompt-engineering, Model Context Protocol (MCP) and large-scale model deployment (HuggingFace, DeepSpeed, ONNX)
- Familiarity with AWS cloud environments services (Lambda, SageMaker, Bedrock, etc).
- Familiarity with workflow orchestration platforms Airflow, RunAI, N8N, Helios.
- Understanding of monitoring tools (Prometheus, Grafana), secure coding practices (SAST/DAST).
Job Skills
Apache Airflow, AWS AI Services, Back-End Development, Deep Learning, Docker (Software), Generative AI, Grafana, Machine Learning, Prometheus (Software), PySpark, Python (Programming Language), Red Hat OpenShift
Additional Job Details
Address:
16 YORK ST:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
TECHNOLOGY AND OPERATIONS
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-10-14
Application Deadline:
2025-12-05
Note**:** Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
I****nclusion and Equal Opportunity Employment
At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.