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Morgan Stanley

AI Solution Specialist (Hybrid)

Reposted 19 Hours Ago
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In-Office
Montréal, QC, CAN
Senior level
In-Office
Montréal, QC, CAN
Senior level
Design and develop AI-driven prototypes and tools for business efficiency, integrating APIs and LLMs while collaborating with stakeholders.
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We're seeking someone to join our team as an AI Solution specialist to focus on rapidly design and build AI‑enabled prototypes and internal tools that improve business workflows, decision support, and operational efficiency. This role sits at the intersection of business, data, and technology — translating ideas into working proof‑of‑concepts that can later be industrialized by Morgan Stanley Technology teams.

In the Corporate Services division, we empower our businesses by creating collaborative workplace solutions and commercial services that enhance the employee and client experience, while optimizing the value of our sourcing and third-party lifecycle to enable the Firm to do‒and‒win business. This is a Vice-President position within the Technology Transformation Innovation and Analytics (TTIA) team, which specializes in change management strategy, with the aim to align people, process, and technology initiatives more closely with its business strategy and vision. This role is ideal for someone passionate about applied AI, experimentation, and building from first principles.

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 build AI‑driven proof‑of‑concepts (POCs) and internal tools that address real business problems

  • Develop rapid prototypes using Python, APIs, and structured data, with a focus on automation and workflow enhancement

  • Integrate large language models (LLMs) into practical use cases such as document analysis, summarization, and internal advisory tools

  • Build retrieval‑augmented generation (RAG) solutions that leverage internal knowledge sources to produce grounded, explainable outputs

  • Partner closely with business stakeholders to refine requirements and with Technology teams to enable smooth handoff for production scaling

  • Contribute to technical discussions around architecture, feasibility, and implementation trade‑offs

What you’ll bring to the role:

  • Undergraduate or Master’s degree in Mathematics, Economics, Statistics, Finance, Computer Science, Engineering or a similarly quantitative field.

  • At least 6 years of relevant experience. An equivalent combination of education and experience, and relevant competencies will be considered.

  • Demonstrated experience applying quantitative methods to real‑world problems within or adjacent to the financial services industry.

  • Hands‑on experience programming in Python (experience with Scala or MATLAB is a plus)

  • Demonstrated ability to build working solutions from scratch, including personal, academic, open‑source, or commercial projects

  • Practical experience integrating APIs and data sources into end‑to‑end applications

  • Familiarity with LLM concepts, including prompt design, token usage, and cost awareness

  • Ability to communicate technical ideas clearly to non‑technical stakeholders and strong problem‑solving skills and comfort working in ambiguous, fast‑moving environments

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, data analytics, cloud engineering, cybersecurity and digital technologies. 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.

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.

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.

Top Skills

APIs
Llm
Matlab
Python
Scala

Morgan Stanley Montréal, Québec, CAN Office

700 Wellington St, Montréal, Quebec, Canada, H3C 3S4

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