Staff AI Engineer (Global Security)

RBC; Toronto; On-site; CAD 150,000 - 210,000; Full time

Benefits offered by this job

Total rewards program

Flexible work options

Job summary

RBC is seeking an experienced Staff AI Engineering expert to lead the design and deployment of agentic AI systems for Global Security. You will drive technical standards, mentor engineers, and deliver scalable AI solutions across the enterprise.

You will work on NLP/Generative AI applications, MCP server integrations, and cloud deployments on OpenShift, Azure, and AWS. Strong leadership and hands-on development are essential to succeed in this role.

Qualifications

• 5+ years software development with 2+ years in AI/ML; expert Python for production systems.
• Deep expertise in NLP/Generative AI, vector databases, LLMs, and RAG pipelines.
• Expert MCP server experience for enterprise data integration; multi-system AI architectures.

Responsibilities

• Design, develop, and maintain NLP/Generative AI apps in Python; architect scalable agentic AI systems and LLM integrations.
• Build and optimize MCP servers connecting LLM apps to internal data and APIs.
• Create deployment pipelines to OpenShift, Azure, AWS; containerize with Docker and CI/CD with GitHub Actions.

Skills

Python

NLP/Generative AI

MCP servers

Anthropic Claude API

LangChain/LangGraph

Cloud platforms

CI/CD

Security integration

Architectural leadership

Tools

OpenShift

Azure

AWS

Docker

GitHub Actions

SQL/NoSQL databases

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: 2026-08-28

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.