Job opportunity
Vice-President AI Platform Architect
860 Morgan Stanley Svcs Canada Co
Architect reusable AI platforms for Morgan Stanley in Montreal, focusing on LLM integration, resilient production systems, and enterprise application delivery. The position combines remote work and office attendance.
As a Vice-President-level Principal Data and Analytics Engineer, you will serve as a primary technical partner for Institutional Securities Group initiatives. You will move GenAI solutions into production while supporting modernization, cyber, business enablement, and at-scale programs. The scope includes shared AI and machine learning ecosystems.
Key Responsibilities:
Design reusable architectures, engineering patterns, and integration frameworks
Integrate GenAI capabilities into enterprise applications and internal platforms
Drive scalability, resiliency, reliability, and operational excellence
Apply monitoring, validation, security, privacy, and auditability controls
Contribute reusable components to shared AI and machine learning ecosystems
Requirements:
Ten or more years in software development roles
Hands-on delivery experience with real production systems
Technical leadership across architecture, standards, mentoring, and delivery
Exposure to data engineering pipelines
Knowledge of French and English
Bring AI platform architecture, enterprise integration, and production engineering experience to Morgan Stanley’s Montreal technology division.
#J-18808-Ljbffr
Apply on source site As a Vice-President-level Principal Data and Analytics Engineer, you will serve as a primary technical partner for Institutional Securities Group initiatives. You will move GenAI solutions into production while supporting modernization, cyber, business enablement, and at-scale programs. The scope includes shared AI and machine learning ecosystems.
Key Responsibilities:
Design reusable architectures, engineering patterns, and integration frameworks
Integrate GenAI capabilities into enterprise applications and internal platforms
Drive scalability, resiliency, reliability, and operational excellence
Apply monitoring, validation, security, privacy, and auditability controls
Contribute reusable components to shared AI and machine learning ecosystems
Requirements:
Ten or more years in software development roles
Hands-on delivery experience with real production systems
Technical leadership across architecture, standards, mentoring, and delivery
Exposure to data engineering pipelines
Knowledge of French and English
Bring AI platform architecture, enterprise integration, and production engineering experience to Morgan Stanley’s Montreal technology division.
#J-18808-Ljbffr