Lead AI Application Developer (Global Security)
Top Benefits
About the role
What is the opportunity?
As a Lead 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.
What will you do?
- 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.
- Champion best practices in AI safety, privacy, regulatory compliance, and autonomous system guardrails, including model monitoring, fallback mechanisms, and secure deployment in regulated environments.
What do you need to succeed?
Must Have
- 6+ years of software engineering experience with Python, SQL, pyspark and at least one of React, Angular, and Vue.js.
- Demonstrated hands-on experience deploying LLMs, RAG systems, agent orchestration frameworks (e.g., LangChain, CrewAI, AutoGen), or agentic AI into production, including vector database configuration (pgvector, Milvus, Pinecone, FAISS), and context engineering for autonomous workflows.
- Hands-on experience deploying ML/AI solutions (LLMs, RAG, classical ML) into Production, including model fine-tuning 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, FastAPI, Django.
- 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 deliver robust, production-ready autonomous AI solutions and platforms, drive continuous improvement, advocate for safety and privacy-by-design, and communicate effectively with technical and business stakeholders.
Nice to Have
- Experience fine-tuning LLMs (e.g., LoRA, PEFT), prompt engineering, and large-scale model deployment using HuggingFace, DeepSpeed, Triton, or ONNX.
- Familiarity with AWS cloud environments services (Lambda, SageMaker, Bedrock, etc).
- Familiarity with workflow orchestration platforms Airflow, RunAI, N8N, Helios. Understanding of modern observability stacks (Grafana, Prometheus, OpenTelemetry) and secure coding practices (SAST/DAST)
What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- 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
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Opportunities to building close relationships with clients
- Access to a variety of job opportunities across business and geographies.
#LI-Post
#TECHPJ
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.
Lead AI Application Developer (Global Security)
Top Benefits
About the role
What is the opportunity?
As a Lead 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.
What will you do?
- 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.
- Champion best practices in AI safety, privacy, regulatory compliance, and autonomous system guardrails, including model monitoring, fallback mechanisms, and secure deployment in regulated environments.
What do you need to succeed?
Must Have
- 6+ years of software engineering experience with Python, SQL, pyspark and at least one of React, Angular, and Vue.js.
- Demonstrated hands-on experience deploying LLMs, RAG systems, agent orchestration frameworks (e.g., LangChain, CrewAI, AutoGen), or agentic AI into production, including vector database configuration (pgvector, Milvus, Pinecone, FAISS), and context engineering for autonomous workflows.
- Hands-on experience deploying ML/AI solutions (LLMs, RAG, classical ML) into Production, including model fine-tuning 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, FastAPI, Django.
- 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 deliver robust, production-ready autonomous AI solutions and platforms, drive continuous improvement, advocate for safety and privacy-by-design, and communicate effectively with technical and business stakeholders.
Nice to Have
- Experience fine-tuning LLMs (e.g., LoRA, PEFT), prompt engineering, and large-scale model deployment using HuggingFace, DeepSpeed, Triton, or ONNX.
- Familiarity with AWS cloud environments services (Lambda, SageMaker, Bedrock, etc).
- Familiarity with workflow orchestration platforms Airflow, RunAI, N8N, Helios. Understanding of modern observability stacks (Grafana, Prometheus, OpenTelemetry) and secure coding practices (SAST/DAST)
What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- 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
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Opportunities to building close relationships with clients
- Access to a variety of job opportunities across business and geographies.
#LI-Post
#TECHPJ
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.