What is the opportunity?

The Senior AI Engineer will pioneer RBC’s next-generation platform for autonomous and semi-autonomous AI solutions in Risk & Security. You will drive the full engineering lifecycle, your expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications. With dedicated GPU-capacity, a rich multi-cloud data estate and the support of RBC’s innovation programs, you’ll turn novel ideas into deployable products that may generate new intellectual-property filings.

What will you do?

• Deliver quick prototypes that provide operational efficiency and automates manual tasks in IT risk , demonstrating measurable value to Risk, Audit and Cyber stakeholders.

• Design and code LLM- and agent-based workflows (LangGraph / Semantic Kernel) with retrieval layers, policy guard-rails and auditor-ready narrative generation.

• Leverage modern AI-assisted development tools (e.g., GitHub Copilot today and emerging code assistants) to accelerate coding, testing and documentation while maintaining secure-coding standards.

• Develop and deploy classical ML models (e.g., XGBoost, isolation-forest) for anomaly detection, quality scoring and trend analysis, with drift/health monitoring.

• Integrate results seamlessly into Archer GRC, ServiceNow IRM, publishing APIs and documentation for downstream consumers.

• Scale the prototype into a plug-in SDK that allows new risk, regulatory or security use-cases to be added with minimal engineering effort.

• Produce clear documentation and, translating technical outcomes into auditor-friendly language and securing stakeholder sign-off.

• Champion secure coding, data-privacy and AI-safety best practices, while mentoring interns or junior engineers when needed.

Must-have

• Bachelor's degree or equivalent experience in Computer Engineering, Computer Science or a related field.

• 4–8 years professional software engineering with Python or TypeScript.

• At least one production deployment of an LLM/RAG or agentic AI solution.

• Demonstrated experience training & deploying classical ML models (e.g., XGBoost, isolation-forest) and implementing drift/quality monitoring.

• Expertise with containers & CI/CD (e.g. Docker + GitHub Actions or Argo CD).

• Strong data-integration skills across REST/GraphQL APIs, SQL (Snowflake, Teradata) and unstructured blobs/OCR.

• Proven ability to deliver a working MVP in under 90 days with minimal oversight.

• Vector database operations (pgvector, Milvus, Pinecone).

• Experience with dual-cloud environments (Azure & AWS) or on-prem GPU clusters.

• Experience with distributed ML training frameworks (Ray, SageMaker).

• Strong collaboration and communication skills to work with various teams and stakeholders

Nice-to-have

• Working experience in cyber security space and/or heavily regulated spaces (finance, insurance, health)

• Experience managing data science teams.

• Familiarity with IT control frameworks (NIST 800-53, ISO 27001) and SOX/ITGC automation.

• Knowledge of ServiceNow IRM data schema & Symantec ICD-M feeds.

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

• A world-class training program in financial services

• Opportunities to do challenging work

• Opportunities to take on progressively greater accountabilities

• Opportunities to building close relationships with clients

• Access to a variety of job opportunities across business and geographies.

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Job Skills

Critical Thinking, Cyber Security Management, Decision Making, Detail-Oriented, Information Security Management, Information Technology Security, Interpersonal Relationship Management, IT Security Architecture, Performance Management (PM)

Additional Job Details

330 FRONT ST W:TORONTOTorontoCanada37.5Full timeTECHNOLOGY AND OPERATIONSRegularSalaried2025-04-152025-09-02

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At 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.