Responsibilities
- Lead the design and development of MCP servers and tools for AI integration.
- Design and implement LLM-powered automation, prompt engineering, conversational AI, and agentic automation solutions.
- Develop ML model integration solutions, AI orchestration workflows, monitoring, and evaluation systems.
- Integrate UiPath with enterprise AI platforms and APIs.
- Design and maintain AI workflow orchestration, vector database, and RAG systems.
- Develop Intelligent Document Processing and NLP solutions.
- Create model evaluation, tuning, governance, and responsible AI frameworks.
- Integrate AI technologies into software development lifecycle workflows and development tooling.
- Evaluate enterprise software packages and AI platforms and recommend solutions to senior management.
- Lead and mentor colleagues through AI product reviews, pilot projects, technology adoption, and technical training.
- Collaborate with enterprise architecture, security, compliance, engineering, business, and senior management stakeholders.
Requirements
- 10+ years of experience building and operating production software systems at scale.
- 2–4 years of hands-on experience with LLMs and generative AI in production environments.
- Expert proficiency in .NET/C#, Java, Python, SQL, Git, and CI/CD pipelines.
- Hands-on experience with Azure Integration Services and advanced API architecture using REST and SOAP.
- Deep knowledge of design patterns, SOA, and software architecture concepts.
- Advanced knowledge of agentic AI patterns, including tool use, agent orchestration, ReAct, multi-step reasoning, memory, and context management.
- Proven experience integrating LLM APIs, applying prompt engineering, and building RAG systems with vector databases, embeddings, and retrieval strategies.
- Demonstrated experience designing and building MCP servers and tools with agent-tool integration frameworks.
- Cloud platform expertise in AWS, Azure, or GCP, including Docker, Kubernetes, and CI/CD pipelines.
- Strong collaboration and communication skills, including experience with code reviews, design discussions, and pair programming.
- Understanding of security, data governance, and responsible AI practices.
- Preferred experience with agentic automation and advanced AI solutions in production.
- Preferred open-source contributions to automation or AI/ML projects.
- Microsoft Azure certification is preferred, including Azure Developer Associate or Azure Solutions Architect Expert.
- Preferred experience building and training machine learning models using Scikit-learn, TensorFlow, or PyTorch.
Benefits
- Comprehensive total rewards program with competitive compensation, bonuses, flexible benefits, commissions, and stock options where applicable.
- Development-focused leadership, coaching, and career opportunities.
- Opportunity to make a meaningful impact on enterprise AI adoption.
- Dynamic, collaborative, and high-performing team environment.
- World-class training programs in financial services and emerging technologies.
- Full-time, regular salaried position based in Toronto, Canada, with 37.5 work hours per week.
Tech Stack
Categories
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. http://rbc.com/legalstuff. 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. https://www.rbc.com/conditions-dutilisation/