What is the opportunity?

As the Senior Lead AI Engineer, you will build RBC’s 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. You’ll 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

• Bachelor’s 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).

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

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 OPERATIONSRegularSalaried2025-07-082025-07-31

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.