Senior Manager, AI Engineering (AML &Fraud)
Core
Lead a team of engineers to deliver scalable, production-ready AI and machine learning solutions for fraud detection and Anti-Money Laundering (AML) capabilities across global banking groups.
Role type
Senior Manager, AI Engineering (Hands-on IC with people leadership)
Builds
Cloud-native AI/ML applications, fraud detection systems, and AML solutions integrated into enterprise platforms.
Domain
Financial Services / Banking / AI & Machine Learning
Deliverable
production ML models
Required skills
Team leadership, software development (.Net, Java, Python), cloud-native architecture (AWS/Azure/GCP), Kubernetes, Docker, API design, data orchestration, ML fundamentals, incident response, solution architecture, Agile/Kanban, data governance, ethical AI.
Preferred skills
Fraud/AML domain knowledge, regulated environment experience, LLMs, transformer-based architecture, prompt engineering, RAG systems, vector databases, AI frameworks (LangChain, AutoGen, CrewAI), multi-agent problem-solving.
Technologies
AWS, Azure, GCP, Kubernetes, Docker, Splunk, Elastic, Python, Java, .Net, LangChain, AutoGen, CrewAI, LLMs, RAG, Vector Databases.
Responsibilities
Set technical direction and mentor engineers; own full lifecycle of AI initiatives from prototyping to deployment; integrate applications into RBC Common Platform; drive solution architecture focusing on performance, security, and compliance; maintain hands-on involvement in development and incident response; prepare executive updates and manage stakeholder expectations.
Seniority
Senior Manager, hands-on IC with people leadership
