# Senior AI Engineer

**Company**: RBC
**Location**: Toronto, Ontario
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://rbc.wd3.myworkdayjobs.com/en-US/RBCGLOBAL1/job/TORONTO-Ontario-Canada/Senior-AI-Engineer_R-0000185462-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-ai-engineer-aa9320d3-1e6/

## Description

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.

**Responsibilities**

**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

**Requirements**

- 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

- Strong 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

**Benefits**

- 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

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## Skills

### Required
- .NET/C#
- Python
- SQL
- Git
- CI/CD pipelines
- API architecture (REST/SOAP)
- LLM API integration
- prompt engineering
- agentic AI patterns
- cloud platforms (AWS, Azure, GCP)
- containers (Docker/Kubernetes)
- RAG systems
- MCP servers and tools

### 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
- experience with additional languages or frameworks (Java, Go, Rust)

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Source: [Apply at rbc.wd3.myworkdayjobs.com](https://rbc.wd3.myworkdayjobs.com/en-US/RBCGLOBAL1/job/TORONTO-Ontario-Canada/Senior-AI-Engineer_R-0000185462-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)