Senior AI Engineer, (Global Security)

What is the opportunity

As the Senior Lead AI Engineer you will build RBCs next-generation platform for autonomous and semi-autonomous AI in Risk & Security. You will drive the full 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 cloud-native development and data pipelines. Youll work with a dedicated GPU and multi-cloud stack 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

• Architect develop and deploy enterprise AI agentic solutions using Python Java or TypeScript to automate risk audit and cybersecurity processes at scale.

• Lead end-to-end delivery of LLMs and RAG systems (OpenAI Cohere Claude Llama) vector search (pgvector Milvus Pinecone) and advanced context engineering pipelines (LangChain Semantic Kernel) to ensure AI actions are context-aware secure and aligned with real-time enterprise data.

• Design and orchestrate autonomous agent workflows for decision-making control testing auto-remediation anomaly detection and continuous assurance leveraging frameworks such as LangGraph CrewAI or AutoGen.

• Engineer and optimize data pipelines and context layers (Spark Databricks Airflow SQL/NoSQL FastAPI GraphQL) to deliver high-quality relevant context for AI-driven decisions and automation.

• Deliver document and maintain robust SDKs APIs and reusable components for risk regulatory and security AI automation across cloud and on-premise environments (AWS Azure on-prem GPU).

• Integrate AI solutions with enterprise systems and platforms including GRC ServiceNow IRM DevOps (Docker Kubernetes GitHub Actions Jenkins) and production monitoring/observability tools.

• Champion best practices in AI safety privacy regulatory compliance and autonomous system guardrails including model monitoring fallback mechanisms and secure deployment in regulated environments (NIST SOX).

• Collaborate and lead cross-functional technical teams influence platform strategy mentor engineers share knowledge and maintain high-quality technical documentation for both internal and external stakeholders.

What do you need to succeed

Must Have

• Bachelors degree (or equivalent) in Computer Science Software Engineering or a related field. 6 years of software engineering experience with Python and at least one of Java TypeScript or Go.

• Demonstrated hands-on experience deploying LLMs RAG systems agent orchestration frameworks (e.g. LangChain CrewAI AutoGen) or agentic AI into production including vector database configuration (pgvector Milvus Pinecone FAISS) and context engineering for autonomous workflows.

• Proficient with MLOps/DevOps containers Kubernetes CI/CD pipelines (Docker GitHub Actions Argo CD Jenkins) and cloud/on-prem development (AWS Azure) at enterprise scale.

• Strong data engineering and integration skills with Spark Databricks Airflow SQL (Snowflake Postgres) NoSQL (MongoDB) unstructured data (blobs/OCR) and API design (REST GraphQL gRPC FastAPI).

• Ability to deliver robust production-ready autonomous AI solutions and platforms drive continuous improvement advocate for safety and privacy-by-design and communicate effectively with technical and business stakeholders.

Nice to Have

• Experience fine-tuning LLMs (e.g. LoRA PEFT) prompt engineering and large-scale model deployment using HuggingFace DeepSpeed Triton or ONNX.

• Familiarity with distributed ML/monitoring frameworks (Ray SageMaker) real-time pipelines (Kafka Kinesis) and enterprise GRC data schemas (ServiceNow IRM Archer).

• Experience with dual-cloud or hybrid environments advanced security tooling (SAST/DAST Vault/KMS) and modern observability stacks (Grafana Prometheus OpenTelemetry).

• Understanding of regulatory frameworks and IT controls (NIST 800-53 ISO 27001 SOX/ITGC automation).

Whats 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

AI Programming AI Programming Applied Machine Learning Artificial Intelligence (AI) Artificial Intelligence (AI) Governance Artificial Intelligence Software Artificial Intelligence System (AIS) Big Data Analytics Business Intelligence Development Client Counseling Cloud Applications Cloudera Hadoop Coaching Others Complex Modeling Critical Thinking Data Analysis Decision Making Engineering Development Industry Knowledge IT Development Machine Learning Model Building Model Training Python (Programming Language) Quantitative Development (Inactive) 8 more

Additional Job Details

16 YORK ST:TORONTOTORONTOCanada37.5Full timeTECHNOLOGY AND OPERATIONSRegularSalaried

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.