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Morgan Stanley

Forward-Deployed AI Engineering Specialist (Hybrid)

Posted 13 Days Ago
Be an Early Applicant
Hybrid
Montréal, QC, CAN
Senior level
Hybrid
Montréal, QC, CAN
Senior level
As a Forward-Deployed AI Engineering Specialist, you'll design and deploy AI applications to enhance financial workflows, communicate with stakeholders, and lead projects from conception to execution.
The summary above was generated by AI

We are seeking a passionate, collaborative senior GenAI professional to help shape how Generative AI is applied across financial and business workflows. This is a high-visibility opportunity to work at the intersection of markets, data, software engineering, and applied AI - building tools that go beyond prototypes and deliver measurable business impact. 

You will partner with front-office, control, and technology teams to identify high-value opportunities, turn ambiguity into clear solution paths, and drive delivery from idea to production. The role is designed for someone who can operate with ownership: interfacing with stakeholders, leading workstreams independently, and setting a high bar for execution. 

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:

  • Translate business, data, and workflow problems into structured solutions and drive delivery end to end. 

  • Design, build, and deploy AI-powered applications, models, dashboards, and automation tools. 

  • Partner with trading, sales, risk, finance, operations, and technology teams to identify priorities and deliver measurable impact. 

  • Apply strong engineering discipline, including testing, version control, monitoring, and iteration based on feedback and usage. 

  • Communicate technical concepts and analytical findings clearly to both technical and non-technical stakeholders. 

What you’ll bring to the role:

  • At least 6 years of experience in technical roles developing software

  • Senior level judgment, ownership, and the ability to independently lead workstreams from problem framing through delivery. 

  • Strong communication skills and comfort working across business and technology teams. 

  • Strong Python skills, familiarity with the data science stack, and solid software engineering fundamentals. 

  • Experience with Generative AI / LLMs, including prompt design, evaluation, retrieval or tool use, and application development. 

  • Familiarity with SQL, APIs, and structured or time-series data. 

  • A portfolio of projects, prototypes, published work, or open-source contributions that demonstrate how you frame problems and build solutions; GitHub repositories and public examples are encouraged. 

Preferred Background :

  • Experience in financial services or the ability to quickly learn financial products, market structure, and business workflows. 

  • Exposure to fixed income, rates, derivatives, pricing, trade lifecycle, or control-oriented workflows is a plus. 

  • Quantitative background in computer science, engineering, mathematics, statistics, physics, or a related field. 

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.

Morgan Stanley Montréal, Québec, CAN Office

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

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