Rust Backend Architect solving and validating production - grade backend systems for Gramian Consultancy’s AI training projects. Designing architectures, tests, and reliable concurrent services.
MS
AI Platform & Engineering Lead, Chef(fe) – Plateforme et ingénierie de l’IA
Posted 9 hours ago
About the role
- AI engineering lead building and industrializing GenAI platforms for Morgan Stanley’s financial services business. Leading developers, architectures, governance, and production-scale AI initiatives in Montreal.
Responsibilities
- Recruit, lead, and mentor developers while setting technical direction and engineering standards
- Partner with Institutional Securities Group business and technology teams to identify, prioritize, and deliver high-value GenAI use cases
- Industrialize AI solutions from proof of concept to production-ready platforms
- Design and implement reusable architectures, engineering patterns, and integration frameworks using LLMs, agent frameworks, orchestration tools, and AI platforms
- Integrate GenAI capabilities into enterprise applications and internal platforms
- Contribute reusable components to shared AI/ML ecosystems
- Ensure performance, reliability, security, privacy, regulatory compliance, monitoring, validation, and auditability
- Define KPIs, measure business outcomes, and communicate progress and value realization to senior stakeholders
- Enable engineering teams through training, best practices, and AI-assisted development guidelines
Requirements
- At least 10 years of experience in a software development role
- Proven technical leadership in architecture, engineering standards, mentoring, and delivery
- Hands-on experience delivering real production systems
- Ability to communicate with technical and non-technical stakeholders and balance urgency, resilience, and maintainability
- Experience using AI-assisted development tools, such as Claude, Microsoft Copilot, and AMP, with appropriate validation, security, and controls
- Understanding of AI governance and regulatory expectations
- Exposure to data engineering pipelines
- Knowledge of French and English is required
Benefits
- Employee benefits and perks described as among the most attractive and comprehensive in the industry
- Opportunities to move within the business for employees who demonstrate passion and grit
- Equal opportunity and inclusive workplace
- Support and empowerment in the workplace
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No Education Requirement
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