AI Platform & Engineering Lead, Chef(fe) – Plateforme et ingénierie de l’IA

Morgan Stanley

. Recruit, lead, and mentor developers while setting technical direction and engineering standards .

Posted 10/26/2026full-timeMontreal • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in technical leadership, architecture, and engineering standards while effectively integrating GenAI capabilities into enterprise applications. Proficient in mentoring teams and ensuring compliance with regulatory expectations in AI governance.

Highest-signal resume keywords

Technical LeadershipAI GovernanceAI-Assisted Development ToolsArchitecture DesignProduction Systems Delivery

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software DevelopmentArchitecture DesignEngineering StandardsData Engineering PipelinesIntegration FrameworksReusable ArchitecturesPerformance MonitoringRegulatory ComplianceKPI DefinitionAI Solutions Industrialization

Soft Skills

MentoringCommunicationCollaborationResilienceUrgency Management

Tools & Technologies

ClaudeMicrosoft CopilotAMPLLMsOrchestration ToolsAI Platforms

Industry Keywords

GenAIAI/ML EcosystemsEnterprise ApplicationsProof of ConceptStakeholder Engagement

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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