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

860 Morgan Stanley Svcs Canada Co; Montreal; Hybrid; CAD 140,000 - 200,000; Full time

Job summary

Morgan Stanley in Montreal, Quebec offers a hybrid work environment for an AI Platform & Engineering Lead role. The position focuses on divisional GenAI use cases, data pipelines, and scalable AI platforms, with a hands-on leadership approach and deep technical ownership.

The role requires at least 10 years in software development, strong leadership in architecture and mentoring, and experience delivering production systems, plus proficiency with AI-assisted development tools and governance.

Qualifications

• 10+ years of software development experience.
• Demonstrated technical leadership in architecture, engineering standards, mentoring and delivery.
• Hands-on experience delivering production systems.
• Ability to communicate with technical and non-technical stakeholders.
• Experience using AI-assisted development tools with proper validation and controls.
• Understanding of AI governance and regulatory expectations.
• Exposure to data engineering pipelines.

Responsibilities

• Recruit, lead and mentor developers, setting technical direction and standards.
• Partner with business and technology teams to identify and deliver GenAI use cases.
• Industrialize AI solutions from PoC to production-ready platforms with scalability and reliability.
• Design reusable architectures and integration frameworks leveraging LLMs and AI platforms.
• Integrate GenAI capabilities into enterprise applications and internal platforms.
• Ensure performance, reliability, security, privacy and regulatory compliance.
• Define KPIs and communicate progress and value to senior stakeholders.
• Support engineering teams through training and best practices to accelerate adoption.

Skills

Technical leadership

GenAI

Data engineering

ML/AI systems

Cloud platforms

Stakeholder comms

Production systems

Team mentoring

Tools

LLM platforms

Orchestration tools

AI frameworks

Job description

We’re seeking someone to join our team as an AI Platform & Engineering Lead in IST Operational Management to handle divisional GenAI use cases, including business use case enablement, modernization, cyber, and at-scale initiatives, along with building up a small team locally. This is a high-visibility, hands‑on role that combines deep technical ownership with the ability to think and operate at scale, while serving as the primary technical partner on one or more initiatives. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Principal Data & Analytics Engineering position at Vice-President level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision‑making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI‑based techniques.

What you'll do in the role:

• Recruit, lead and mentor developers, setting technical direction, engineering standards, and a culture of ownership and continuous improvement.
• Partner with the Institutional Securities Group business and technology teams to identify, prioritize, and deliver high‑value GenAI use cases.
• Drive the industrialization of AI solutions, moving use cases from proof‑of‑concept to production‑ready platforms with scalability, resiliency, and operational excellence.
• Design and implement reusable architectures, engineering patterns, and integration frameworks leveraging LLMs, agent frameworks, orchestration tools, and AI platforms.
• Integrate GenAI capabilities into enterprise applications and internal platforms while contributing reusable components to shared AI/ML ecosystems.
• Ensure solutions meet performance, reliability, security, privacy, and regulatory requirements through robust controls, monitoring, validation, and auditability.
• Define KPIs and measure business outcomes, communicating progress, impact, and value realization to senior stakeholders.
• Enable engineering teams through training, best practices, and AI‑assisted development guidelines to accelerate adoption of modern engineering practices.

What you'll bring to the role:

• 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 (ex. Claude, Microsoft Copilot, AMP) with appropriate validation, security, and controls.
• Understanding of AI governance and regulatory expectations.
• Exposure to data engineering pipelines.

All our positions are located in Montreal, Quebec.

We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

Ce que vous ferez dans le cadre de ce poste:

• Recruter, diriger et encadrer des développeurs, en établissant l’orientation technique et les normes d’ingénierie, et en favorisant une culture de responsabilisation et d’amélioration continue.
• Collaborer avec les équipes d’affaires et de technologie du Groupe des titres institutionnels afin de déterminer, de prioriser et de mettre en œuvre des cas d’utilisation de l’IA générative à forte valeur ajoutée.
• Piloter l’industrialisation des solutions d’IA en faisant évoluer les cas d’utilisation de la démonstration de faisabilité vers des plateformes prêtes pour la production, offrant évolutivité, résilience et excellence opérationnelle.
• Concevoir et mettre en œuvre des architectures réutilisables, des modèles d’ingénierie et des cadres d’intégration tirant parti de grands modèles de langage (LLM), de cadres d’agents, d’outils d’orchestration et de plateformes d’IA.
• Intégrer les capacités d’IA générative aux applications d’entreprise et aux plateformes internes, tout en contribuant des composants réutilisables aux écosystèmes communs d’IA et d’apprentissage automatique.
• Veiller à ce que les solutions répondent aux exigences en matière de performance, de fiabilité, de sécurité, de protection des renseignements personnels et de réglementation grâce à des contrôles rigoureux, à une surveillance, à une validation et à des mécanismes d’auditabilité.
• Définir des indicateurs clés de performance (ICP) et mesurer les résultats d’affaires, tout en communiquant les progrès, les retombées et la réalisation de la valeur aux parties prenantes de la haute direction.
• Soutenir les équipes d’ingénierie au moyen de formations, de pratiques exemplaires et de lignes directrices sur le développement assisté par l’IA afin d’accélérer l’adoption de pratiques d’ingénierie modernes.

Ce que vous apporterez à ce poste:

• Au moins dix ans d’expérience dans un rôle de développement logiciel.
• Leadership technique éprouvé en matière d’architecture, de normes d’ingénierie, de mentorat et de livraison.
• Expérience pratique dans la livraison de systèmes réels en production.
• Capacité à communiquer avec des parties prenantes techniques et non techniques et à trouver un juste équilibre entre l’urgence, la résilience et la maintenabilité.
• Expérience dans l’utilisation d’outils de développement assisté par l’IA (p. ex., Claude, Microsoft Copilot, AMP), avec des mesures appropriées de validation, de sécurité et de contrôle.
• Compréhension de la gouvernance de l’IA et des attentes réglementaires.
• Expérience des pipelines d’ingénierie de données.

Les postes sont situés à Montréal, au Québec.

Nous offrons un environnement de travail hybride combinant le télétravail et le travail au bureau.

La connaissance du français et de l’anglais est requise.

Ce texte a été traduit à l’aide d’outils automatisés. Bien que nous nous efforcions d’en assurer l’exactitude, veuillez consulter la version originale en anglais ou communiquer avec les ressources

What you can expect from Morgan Stanley:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals.

Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — aren’t just beliefs, they guide the decisions we make every day to do what’s best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.

At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered.

Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences.

We are proud to support our employees and their families at every point along their work‑life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.

Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross‑section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.