Marks & Spencer Group plc

Build reusable GenAI prototypes, patterns, and sample applications that help developers across Morgan Stanley adopt AI platform capabilities at scale. This customer-facing solution engineering role combines hands-on AI application development with technical consultation, documentation, and platform feedback.

Lead firmwide developer engagement and enablement for the adoption of AI coding tools across Morgan Stanley’s 25,000+ developers. The role combines hands-on software development knowledge, technical education, responsible AI guidance, and cross-functional influence.

Lead Java software development for Morgan Stanley’s FS analytics platform, supporting a revenue-generating platform used by institutional securities clients. The Vice President role combines technical delivery, strategic execution, and communication with technology and business leadership.

Senior Java Developer responsible for designing, building, and maintaining enterprise applications supporting Morgan Stanley’s client onboarding and regulatory compliance platform. The role focuses on scalable backend services, event-driven systems, database solutions, and technical mentorship in a hybrid Montreal environment.

Lead the design, development, and evolution of strategic risk-management applications using Java-based backend technologies and modern frontend frameworks. This hybrid Vice President-level role combines hands-on full-stack engineering, technical leadership, integration, testing, and production support in Montreal.

Director-level Full Stack Software Engineer responsible for developing and maintaining revenue-generating analytics platform solutions using Java, Angular, databases, and modern web architectures. The role combines end-to-end application development, data management, and production support within Morgan Stanley’s Risk Technology team.

Lead applied machine learning work for Morgan Stanley’s Wealth Management business, developing and deploying models that improve experiences for more than 20 million clients. The role combines ML research, production delivery, experimentation, and stakeholder collaboration across areas such as personalization, recommender systems, and natural language understanding.

Lead the design, development, and delivery of enterprise Java solutions supporting Morgan Stanley’s Tax Technology platform. This Director-level role combines hands-on software engineering, technical architecture, stakeholder collaboration, and mentorship.