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Added 19 mins ago
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Staff AI Engineer (Global Security)
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Toronto, ON
Full-time
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RBC

Staff AI Engineer (Global Security)

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 23, 2026
Posting language: English
Posted: Sep 24, 2026

Apply About employer

Applications open in a new tab.

Original job description

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?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

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

#TECHPJ

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.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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More about this job

Responsibilities

You will lead the development of agentic AI systems and LLM applications to enhance enterprise security and developer experience. This role involves architecting scalable AI solutions, establishing technical standards, and collaborating with product leadership to define AI strategy.

Requirements

Candidates must have 5+ years of software development experience, including 2+ years in AI/ML with expert-level Python proficiency. Proven expertise in NLP, Generative AI, RAG pipelines, and Model Context Protocol (MCP) is required for this senior technical leadership position.

Skills

Python
Generative AI
NLP
LLM
RAG pipelines
Model Context Protocol
Agentic AI
Cloud platforms
Docker
CI/CD
GitHub Actions
Vector databases
Prompt engineering
FastAPI
LangChain
Security

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Flexible work/life balance

Visa sponsorship

Not detected in the job text

Keywords

Staff AI Engineer
Global Security
Agentic AI
LLM
NLP
Generative AI
Python
RAG
Vector Databases
Model Context Protocol
MCP
OpenShift
Azure
AWS
Docker
CI/CD
GitHub Actions
FastAPI
LangChain
LangGraph
SIEM
Enterprise Security
Software Development
Machine Learning
Prompt Engineering
Scalability
Resiliency
API
JSON-RPC
Middleware

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