Summary
A lead-level software engineering role for an experienced AI practitioner who will design and scale enterprise-grade generative AI platforms and intelligent workflows. You will build reusable AI services, develop agentic assistants, define model and orchestration strategies, establish rigorous LLMOps and evaluation practices, and ensure secure handling of sensitive data in production. The position suits an engineer with strong Python and platform engineering experience, deep knowledge of RAG and advanced retrieval systems, and a track record of stabilizing real-world AI systems.
Highlights
Lead-level opportunity to design and scale enterprise GenAI platforms, build intelligent assistants and reusable AI services, shape architecture and evaluation strategy, and establish production-grade LLMOps practices. The role offers broad technical ownership, work on complex regulated systems, and strong opportunities to influence adoption of AI capabilities across a large organization.
Description
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 workflowsDevelop AI-powered assistants embedded into core Institutional Securities applications, leveraging agentic and tool-driven workflowsDefine and guide GenAI architecture decisions, including model selection, orchestration patterns, and evaluation strategiesEstablish and evolve LLMOps practices, including evaluation harnesses, prompt/version management, monitoring, and regression testingDesign and implement controls for entitlements, data security, and PII handling, including usage of open-source models in regulated environmentsPartner 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 productionAt least 6+ years of full-stack or platform engineering experience, with strong proficiency in PythonProven experience designing and operating LLM-based systems using patterns such as RAG, tool/function calling, agentic workflows, and structured outputsStrong expertise in LLMOps, including evaluation frameworks, prompt/version management, regression testing, observability, and production reliabilityExperience building AI-first document ingestion and extraction pipelines with measurable quality and accuracyExperience 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: https://www.morganstanley.com/people-opportunities/eeo.
