AI Engineer (Global Security)

RBC; Toronto; On-site; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Total rewards program

Flexible work-life balance

Career development and coaching

Challenging work opportunities

Job summary

RBC is seeking an AI Engineer (Global Security) to help build RBC’s next-generation autonomous AI platform. You will design self-directed, context-aware AI agents and workflows that operate with minimal human intervention, leveraging your expertise in LLMs, generative AI, ML, and data pipelines.

You will collaborate with Global Security and Data Science teams to deliver scalable, production-grade AI solutions that automate controls, accelerate regulatory readiness, and raise the bar for security

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 2–5 years of software engineering with Python and at least one of Java, TypeScript, or Go.
• 2+ years in ML/AI, data science, or generative AI.
• Hands-on with deploying LLMs, RAG systems, and agent orchestration frameworks.
• Proficient with MLOps/DevOps, containers, Kubernetes, CI/CD pipelines.

Responsibilities

• Develop and deploy enterprise AI solutions using Python to automate threat detection at scale.
• Evaluate approaches (multi-agent, single-agent, rule-based) for threat complexity and regulatory needs.
• Contribute to LLMs and RAG systems, including benchmarking and monitoring.

Skills

Python

ML/DL

DevOps

CI/CD

Cross-functional

Education

Bachelor's degree in CS/SE

Tools

LangChain

CrewAI

AutoGen

Docker

Kubernetes

GitHub Actions

Jenkins

Milvus

pgvector

Job description

What is the opportunity?

As an AI Engineer (Global Security), you will contribute to building RBC’s next-generation platform for autonomous and semi-autonomous AI. You will contribute to the engineering lifecycle to create self-directed, context-aware AI agents and workflows that operate with minimal human intervention, leveraging your expertise in large language models (LLMs), generative AI, machine learning, and data pipelines. You’ll work to deliver highly scalable, production-grade AI solutions that automate complex controls, accelerate regulatory readiness, and set new standards for operational excellence and security.

Job Description

As an AI Engineer (Global Security), you will contribute to building RBC’s next-generation platform for autonomous and semi-autonomous AI. You will contribute to the engineering lifecycle to create self-directed, context-aware AI agents and workflows that operate with minimal human intervention, leveraging your expertise in large language models (LLMs), generative AI, machine learning, and data pipelines. You’ll work to deliver highly scalable, production-grade AI solutions that automate complex controls, accelerate regulatory readiness, and set new standards for operational excellence and security.

What will you do?

• Develop and deploy enterprise AI solutions using Python to automate threat detection and remediation processes at scale
• Evaluate and recommend technical approaches (multi-agent, single-agent, rule-based) based on threat complexity and regulatory requirements, bringing strategic thinking to architecture decisions
• Contribute to the development of LLMs and RAG systems including output quality benchmarking and model performance monitoring (OpenAI, Cohere, Claude via RBC's Claude shop), vector search (pgvector, Milvus, Pinecone), and context engineering pipelines to ensure AI threat detection is accurate, secure, and aligned with data
• Build and maintain data pipelines and context layers (Spark, Airflow, SQL/NoSQL) to deliver high-quality intelligence for AI-driven threat detection and automation
• Integrate AI solutions with enterprise systems and platforms (Docker, GitHub Actions) and production monitoring tools
• Follow and apply best practices in AI safety, privacy, regulatory compliance, and autonomous system guardrails, including model monitoring, fallback mechanisms, and secure deployment in regulated environments (NIST 800-53, SOX)
• Collaborate with Global Security, Data Science, and cross-functional teams to refine threat detection requirements, share knowledge, and maintain high-quality technical documentation

What do you need to succeed?

Must-have

• Bachelor's degree (or equivalent) in Computer Science, Software Engineering, or a related field
• 2-5 years of software engineering experience with Python and at least one of Java, TypeScript, or Go
• 2+ years of hands-on experience with machine learning, data science, or AI (demonstrated ability to learn and apply generative AI approaches)
• Hands-on experience deploying LLMs, RAG systems, and agent orchestration frameworks (e.g., LangChain, CrewAI, AutoGen), including vector database configuration and context engineering for AI workflows
• Proficient with MLOps/DevOps, containers, Kubernetes, CI/CD pipelines (Docker, GitHub Actions, Jenkins)

Nice-to-have

• Experience with threat detection, security analytics, or threat monitoring systems
• Strong mathematical foundations in probability, statistics, and optimization for model design, along with familiarity with distributed ML frameworks (Ray, SageMaker) and real-time pipelines (Kafka, Kinesis)
• Awareness of regulatory frameworks and IT controls (NIST 800-53, ISO 27001, SOX)

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

Job Skills

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:

2026-06-05

Application Deadline:

2026-10-02

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.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

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.