Senior AI Engineer

RBC; Toronto; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Total rewards program

Career development & growth

Job summary

RBC is seeking a Senior AI Engineer to design, implement, and govern AI-driven software within enterprise SDLC. You will build MCP servers, orchestration workflows, and LLM-powered automation while partnering with architecture, security, and compliance teams.

You’ll contribute to AI governance, vector databases, RAG systems, and responsible AI practices while supporting code reviews and mentoring junior engineers in a Toronto-based team.

Qualifications

• 4–6 years building and operating production software at scale.
• 1–2 years hands-on with LLMs in production or prototyping.
• Proficient in .NET/C#, Python, SQL, Git, and CI/CD pipelines.
• Strong API architecture expertise (REST/SOAP).
• Experience with agentic AI patterns and tool use.
• Cloud experience (AWS/Azure/GCP) with containers (Docker/Kubernetes).
• Experience with RAG systems, embeddings, and vector databases.

Responsibilities

• Design and build MCP servers and tooling for AI integration.
• Develop AI-driven automation, including LLM-powered workflows.
• Create AI orchestration with monitoring and evaluation.
• Integrate UiPath with enterprise AI platforms and APIs.
• Collaborate with security, governance, and architecture teams.

Skills

LLM integration

Python

C#

SQL

Git & CI/CD

API architecture

Cloud platforms

Kubernetes

RAG systems

MCP servers & tooling

Tools

Docker

REST/SOAP APIs

Vector databases

Job description

Job Description

Senior AI Engineer

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.

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
• 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

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

#LI-POST

#TechPJ

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:

2026-09-24

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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