Staff AI Engineer (Global Security)

RBC; Toronto; On-site; CAD 150,000 - 190,000; Full time

Job summary

RBC Global Security is seeking an experienced Staff AI Engineering leader to design and implement agentic AI systems and LLM applications in enterprise security. You will guide technical standards, mentor a team, and drive execution across data pipelines, MCP servers, and AI frameworks.

Join a team with access to large data sets and cloud resources to deliver scalable, secure AI solutions, improve developer experience, and reduce vulnerabilities across the organization.

Qualifications

• 5+ years software development experience with AI/ML.
• Expert-level Python production systems.
• Deep expertise NLP/Gen AI with vectors, LLMs, and RAG pipelines.
• Experience with MCP servers for enterprise data integration.
• Production LLM experience with Anthropic Claude API or similar.

Responsibilities

• Design, develop, and maintain NLP/Generative AI applications in Python.
• Design and implement MCP servers for enterprise data integration.
• Build deployment pipelines to cloud platforms (OpenShift, Azure, AWS) and containerize with Docker.
• Develop AI-driven security tools and integrate with SIEM systems for alerting and reporting.
• Establish technical direction and architectural standards across MCP server development and AI frameworks.
• Lead cross-system AI integrations with scalability, resilience, and cost optimization.

Skills

Python

NLP/Gen AI

MCP servers

LLMs

LangChain

FastAPI

Cloud platforms

Docker/Kubernetes

Vector databases

LLM integrations

Education

Bachelor's degree in Computer Science

Tools

LangChain

LangGraph

NumPy

Pandas

scikit-learn

OpenShift

Azure

AWS

Docker

GitHub Actions

REST/SOAP

JSON-RPC

Job description

What is the opportunity?

We're looking for an experienced Staff AI Engineering (Global Security) expert who will bring technical leadership and subject-matter expertise in designing and implementing agentic AI systems and Large Language Model (LLM) applications. You will lead the development of next-generation AI technologies, establish technical standards across the team, and work with a team of passionate individuals committed to bringing advanced AI to enterprise security. At RBC Global Security, you'll be joining a team that builds AI solutions to reduce vulnerabilities across the organization and enhance developer experience. The team has access to rich and massive datasets and computational resources to support development in agentic AI systems, LLM applications, and intelligent security platforms. The role involves strategic technical leadership, hands-on development, mentorship, and execution to ensure objectives are accomplished with excellence.

What will you do?

• Design, develop, and maintain sophisticated NLP and Generative AI applications in Python; architect scalable agentic AI systems, RAG pipelines, and LLM integrations leveraging vector databases, embeddings, and advanced prompt engineering
• Design and implement Model Context Protocol (MCP) servers for enterprise data integration; build custom MCP servers connecting LLM applications to internal databases, APIs, and knowledge bases; contribute to existing MCP deployments developing new features and optimizations
• Build and maintain deployment pipelines to cloud platforms (OpenShift, Azure, AWS); containerize applications using Docker; build CI/CD workflows with GitHub Actions; manage MCP server infrastructure with proper authentication, security, and monitoring
• Develop AI-driven security tools and applications for scalability and resiliency; integrate applications with SIEM systems for alerting and reporting
• Establish technical direction and architectural standards for MCP server development, AI framework selection, and prompt engineering practices across Global Security; lead architectural reviews of team implementations
• Lead the design of complex, multi-system AI integrations; architect for scalability, resilience, and cost optimization at enterprise scale
• Define AI strategy in collaboration with product leadership; translate business objectives into technical roadmaps, prioritization, and architectural decisions
• Perform root-cause analysis for production issues and provide solutions; manage risks, assumptions, and constraints; communicate to appropriate parties

What do you need to succeed?

Must-have

• 5+ years software development experience with 2+ years in AI/ML; expert-level Python proficiency for production systems
• Deep expertise designing and deploying NLP/Generative AI applications; proven track record with vector databases, LLMs, and RAG pipelines
• Expert-level experience with Model Context Protocol (MCP) servers for enterprise data integration; proven track record implementing complex multi-system AI architectures
• 1-2+ years hands-on experience with Anthropic Claude API and SDK (function calling, tool use, extended context) OR equivalent production LLM experience
• Advanced proficiency with AI frameworks (FastAPI, LangChain, LangGraph) and Python libraries (NumPy, Pandas, scikit-learn)
• Advanced prompt engineering expertise: multi-step reasoning, prompt caching strategies, cost optimization, Anthropic Skills framework, and agent orchestration patterns
• Solid understanding of cloud platforms (OCP, Azure, AWS), web services (SOAP/REST), Git/GitHub Actions, Docker, databases (SQL/NoSQL), middleware (Kafka/Redis), and JSON-RPC protocols
• Demonstrated experience leading or architecting large-scale AI/ML projects from conception through production; ability to make high-impact design decisions with long-term implications

Nice-to-have

• MLOps tools, service mesh architectures, API gateway patterns, and cloud certifications (AWS/Azure)
• Familiarity with SIEM integration patterns and security incident management workflow
• Understanding of Docker and other containerization platforms

What’s in it for you?

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Flexible work/life balance options
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Access to a variety of job opportunities across business

Job Skills

Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Emerging Technologies, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)

Additional Job Details

Address

16 YORK ST: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

2026-04-03

Application Deadline

2026-10-23

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.