Senior AI Platform Engineering Specialist (Hybrid)

Morgan Stanley • Montreal, QC

18d • Hybrid

About The Position

Morgan Stanley is seeking a Senior AI Platform Engineering Specialist to join their AI Development Platform (AIDP) team. This role focuses on architecture and modernization, aiming to build a firmwide AI Development Platform and drive the adoption of AI capabilities across the enterprise. The ideal candidate is a seasoned platform engineer with extensive hands-on experience in building and operating large-scale, cloud-native platforms on Kubernetes. They should possess strong expertise in API-driven and REST-based architectures, data-intensive systems, and enterprise-grade service platforms. Proven experience in delivering Generative AI and LLM-powered solutions, including agentic systems, orchestration frameworks, and evaluation/benchmarking pipelines, is essential. The specialist will be comfortable working across the full GenAI lifecycle, from development to production operations, demonstrating a strong platform mindset and excelling at building reusable and scalable capabilities. This position is part of the Lead Data & Analytics Engineering job family at the Vice President level within the Technology division, which leverages innovation to build connections and capabilities for the Firm. Morgan Stanley, a global leader in financial services since 1935, operates in over 40 countries and is committed to serving clients and communities.

Requirements

• 8+ years of strong hands‑on software engineering experience, preferably in Python (FastAPI, Flask), building large‑scale, cloud‑native platforms.
• Deep experience designing and operating Kubernetes / OpenShift workloads using Helm, Customize, container registries, and GitOps practices.
• Hands‑on experience building GenAI and LLM-based applications, including agentic orchestration, embeddings, evaluation workflows, and fine‑tuning.
• Strong understanding of microservices, RESTful API design, asynchronous and concurrent programming, and performance-oriented systems.
• Solid foundation in data engineering principles including SQL/NoSQL stores, Kafka, Redis, vector databases, and state management at scale.
• Proficiency in DevOps, CI/CD, observability (OpenTelemetry, Prometheus, Grafana), and SRE‑inspired operational practices.
• Strong working knowledge of security‑first design, OAuth2, secure coding practices, and enterprise‑grade platform controls.
• Bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience, with excellent communication and collaboration skills.
• Knowledge of French and English is required.

Responsibilities

• Design and build a firmwide AI development and evaluation platform with a strong focus on enterprise-scale GenAI benchmarking, assurance, and governance.
• Develop self‑service tooling, SDKs, and APIs to enable teams to build, evaluate, and deploy GenAI applications efficiently and safely.
• Build reusable, scalable platform components for GenAI and agentic systems, including orchestration, evaluation pipelines, and model lifecycle workflows.
• Lead the implementation of container‑native GenAI workloads on Kubernetes / OpenShift using GitOps‑driven deployment patterns.
• Integrate and operate GenAI ecosystem components including LLMs, vector databases, embeddings, and agent frameworks.
• Drive key architecture, product, and design decisions across security, authentication, observability, scalability, and reliability.
• Establish platform best practices for GenAI evaluations, agentic systems, ModelOps / LLMOps, and production operations.
• Collaborate closely with engineers, data scientists, security, and product teams to accelerate safe enterprise adoption of GenAI.

Benefits

• some of the most attractive and comprehensive employee benefits and perks in the industry
• support our employees and their families at every point along their work-life journey
• ample opportunity to move across the businesses

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees