Applied AI Engineering Specialist (Hybrid)

Reposted 9 Hours Ago
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Montréal, QC, CAN
Hybrid
Senior level
Fintech • Financial Services
The Role
Design, build, and scale enterprise-grade GenAI platforms and intelligent workflows for Institutional Securities. Develop AI assistants, define GenAI architecture, establish LLMOps practices, implement data/PII controls, and partner with business teams to adopt shared GenAI capabilities.
Summary Generated by Built In

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.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

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

At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent. There’s ample opportunity to move across the businesses for those who show passion and grit in their work.

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.

Skills Required

  • At least 1 year hands-on experience building and operating GenAI systems in production
  • At least 6+ years full-stack or platform engineering experience
  • Strong proficiency in Python
  • Proven experience designing and operating LLM-based systems using RAG, tool/function calling, agentic workflows, structured outputs
  • 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 (multi-stage pipelines, vector search, re-ranking, metadata filtering, evaluation metrics)
  • Practical experience debugging and stabilizing systems through real-world failure scenarios (model regressions, prompt drift, retrieval degradation, data quality)
  • Knowledge of French and English
  • Position located in Montreal, Quebec; hybrid work (office attendance required)

Morgan Stanley Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.

  • Parental & Family Support Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
  • Healthcare Strength Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
  • Equity Value & Accessibility Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.

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The Company
HQ: New York, NY
87,899 Employees

What We Do

Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.

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