The Opportunity We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role offers the opportunity to work on enterprise-scale AI integration initiatives, establish best practices, and advance the technical maturity of our engineering organization. You will collaborate with cross-functional teams to drive AI adoption and innovation across the organization.

Job Description Senior AI Engineer We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role offers the opportunity to work on enterprise-scale AI integration initiatives, establish best practices, and advance the technical maturity of our engineering organization. You will collaborate with cross-functional teams to drive AI adoption and innovation across the organization.

What You'll Do AI Engineering & Implementation

Design and build MCP (Model Context Protocol) servers and tools for seamless AI integration

Design and implement AI-driven automation solutions, including LLM-powered automation, prompt engineering, and conversational AI

Develop ML model integration solutions and AI orchestration workflows with monitoring and evaluation

Integrate UiPath with enterprise AI platforms and APIs

Support implementation of agentic automation and advanced AI use cases

AI/ML Expertise & Governance

Integrate LLM APIs and apply prompt engineering techniques

Design and maintain AI workflow orchestration systems

Implement Intelligent Document Processing and NLP solutions

Develop model evaluation, tuning, and governance frameworks

Design and manage vector databases and RAG (Retrieval-Augmented Generation) systems

Support responsible AI practices and governance model development

AI-Driven Software Development Lifecycle (SDLC)

Contribute to AI/ML solutions that enhance code generation, testing, deployment, and monitoring

Integrate AI technologies into existing SDLC workflows and development tooling

Support development and implementation of governance models for AI and responsible AI practices





Technical Contributions & Collaboration

Participate in technology evaluation and assessment for organizational adoption

Collaborate with enterprise architecture, security, and compliance teams on AI initiatives

Contribute to technical training and knowledge-sharing initiatives

Support code reviews, design discussions, and mentoring of junior team members

What You Need To Succeed Must Have

4–6 years of experience building and operating production software systems at scale

1–2 years of hands‑on experience with LLMs and generative AI in production environments or serious prototyping

Proficiency in .NET/C#, Python, SQL, Git, and CI/CD pipelines

Robust expertise in API architecture (REST/SOAP)

Solid working knowledge of agentic AI patterns: tool use, agent orchestration, ReAct, multi‑step reasoning, memory and context management

Proven proficiency in LLM API integration and prompt engineering

Cloud platform experience (AWS, Azure, or GCP), including containers (Docker/Kubernetes) and CI/CD pipelines

Experience building or contributing to RAG systems (vector databases, embeddings, retrieval strategies)

Demonstrated experience designing and building MCP servers and tools with familiarity of agent‑tool integration frameworks

Strong collaboration and communication skills; comfortable with code reviews, design discussions, and pair programming

Ability to explain technical decisions clearly to both technical peers and business stakeholders

Understanding of security, data governance, and responsible AI practices

Nice‑to‑Have

Production experience with agentic automation and advanced AI solutions

Open‑source contributions to automation or AI/ML projects

Certification in cloud platforms (e.g., AWS Developer Associate, Azure Developer Associate)

Experience with additional languages or frameworks (Java,



Go, Rust)

What's In It For You We thrive on the challenge to be our best, embrace progressive thinking, and work together to deliver trusted solutions that help our clients and communities prosper. We are committed to supporting each other's growth and creating mutual success.

Comprehensive Total Rewards Program including competitive compensation, bonuses, flexible benefits, commissions, and stock options where applicable

Development‑focused leadership committed to your growth through coaching and career opportunities

Opportunity to make a meaningful, lasting impact on enterprise AI adoption

Dynamic, collaborative, and high‑performing team environment

World‑class training programs in financial services and emerging technologies

Job Skills Application Development, Application Integrations, Application Maintenance, Applications Architecture, Detail‑Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC), System Applications

Additional Job Details Address: 180 WELLINGTON ST W: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: 2026-08-26

Application Deadline: 2026-10-09

Note Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.

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📌 Senior AI Engineer (Toronto)
🏢 RBC
📍 Toronto