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 chance for all.

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📌 Staff AI Engineer (Global Security) (Winnipeg)
🏢 RBC
📍 Winnipeg