# Lead 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/Lead-AI-Engineer_R-0000185460-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/lead-ai-engineer-35e42e97-862/

## Description

We are seeking an accomplished Lead AI Engineer to design, develop, and implement AI-driven solutions within our software development lifecycle.

You will lead enterprise-scale AI integration initiatives, establish best practices, and advance the technical maturity of our engineering organization.

**AI Engineering & Implementation**

- Lead the design and development of 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 advanced 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 models

**AI-Driven Software Development Lifecycle (SDLC)**

- Implement AI spec-driven development practices for your squad

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

- Integrate AI technologies into existing SDLC workflows and development tooling

- Collaborate on governance and responsible AI implementation

**Technical Leadership & Collaboration**

- Lead technology evaluation and assessment for organizational adoption

- Collaborate with enterprise architecture, security, and compliance teams on AI integration

- Contribute to technical training and knowledge-sharing initiatives across the organization

**What You Need to Succeed**

- 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

- Deep knowledge of design patterns (MVC, MVVM), SOA, and architectural concepts; hands-on development experience with Azure Integration Services

- Expert-level expertise in API architecture (REST/SOAP)

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

- Proven proficiency in LLM API integration, prompt engineering, and RAG systems (vector databases, embeddings, retrieval strategies)

- Demonstrated experience designing and building MCP servers and tools with agent-tool integration frameworks

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

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

- Ability to communicate technical decisions clearly to both technical peers and business stakeholders

- Understanding of security, data governance, and responsible AI practices

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- .NET/C#
- Java
- Python
- SQL
- Git
- CI/CD pipelines
- LLMs
- generative AI
- API architecture
- agentic AI patterns
- LLM API integration
- prompt engineering
- RAG systems
- vector databases
- embeddings
- retrieval strategies
- MCP servers
- agent-tool integration frameworks
- cloud platforms
- containers
- Kubernetes

### Nice to have
- agentic automation
- advanced AI solutions
- open-source contributions
- Microsoft Azure certification
- machine learning models

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Source: [Apply at rbc.wd3.myworkdayjobs.com](https://rbc.wd3.myworkdayjobs.com/en-US/RBCGLOBAL1/job/TORONTO-Ontario-Canada/Lead-AI-Engineer_R-0000185460-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)