Applied AI Engineering Specialist (Hybrid) at Morgan Stanley – Montreal | Jobyssey

We’re seeking someone to join our team as an Applied AI Engineering Specialist in FICFX to design and scale enterprise-grade GenAI platforms and intelligent workflows that enhance core Institutional Securities applications and business processes.

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 Lead Software Engineering position at Vice President level, which is part of the job family responsible for the design, development, delivery and maintenance of software solutions, including application development, systems integration, and platform engineering to support business objectives.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you’ll do in the role:

Design and evolve reusable GenAI workflow primitives and services used across Institutional Securities workflows
Develop AI-powered assistants embedded into core Institutional Securities applications, leveraging agentic and tool-driven workflows
Define and guide GenAI architecture decisions, including model selection, orchestration patterns, and evaluation strategies
Establish and evolve LLMOps practices, including evaluation harnesses, prompt/version management, monitoring, and regression testing
Design and implement controls for entitlements, data security, and PII handling, including usage of open-source models in regulated environments
Partner with business and platform teams to drive adoption of shared GenAI capabilities across systems and workflows

What you’ll bring to the role:

At least 1 year of hands-on experience building and operating GenAI systems in production
At least 6+ years of full-stack or platform engineering experience, with strong proficiency in Python
Proven experience designing and operating LLM-based systems using patterns such as RAG, tool/function calling, agentic workflows, and structured outputs
Strong expertise in LLMOps, including evaluation frameworks, prompt/version management, regression testing, observability, and production reliability
Experience building AI-first document ingestion and extraction pipelines with measurable quality and accuracy
Experience with coding agents (Claude code, Codex, AMP, CoPilot)
Advanced experience in retrieval systems, including multi-stage pipelines, vector search, re-ranking, metadata filtering, and evaluation metrics (e.g., recall/precision tradeoffs, MRR, NDCG)
Practical experience debugging and stabilizing systems through real-world failure scenarios, including model regressions, prompt drift, retrieval degradation, and data quality issues

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.

Build a career with impact. Visit morganstanley.com for more information.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. 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: .

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