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 recent 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

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.

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

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📌 AI Engineer (Global Security) (Ontario)
🏢 Socket.dev
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