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Genai Developer Jobs in Quebec (NOW HIRING)

As a Cloud Node.js Developer, you will design and implement backend services and integrations powering our GenAI suite for enterprise systems. You will own end-to-end features - from design to ...

As a Cloud Node.js Developer, you will design and implement backend services and integrations powering our GenAI suite for enterprise systems. You will own end-to-end features - from design to ...

... AI Engineer to design and deliver production-grade machine learning and generative AI solutions ... Build and deploy ML and GenAI solutions for banking use cases (fraud, AML, credit scoring, customer ...

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Genai Developer information

What are the key skills and qualifications needed to thrive as a GenAI Developer, and why are they important?

To thrive as a GenAI Developer, you need a strong background in machine learning, deep learning frameworks (like TensorFlow or PyTorch), and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (AWS, Azure, GCP), APIs, and prompt engineering, as well as certifications in AI or ML, are typically used in this role. Creativity, problem-solving, and effective communication set outstanding GenAI Developers apart. These skills are crucial for building, optimizing, and deploying powerful generative AI models that address complex business challenges.

What are some common challenges GenAI Developers face when integrating generative AI models into existing products?

GenAI Developers often encounter challenges related to model deployment, scalability, and ensuring data privacy when integrating generative AI models into established products. Balancing the computational requirements of large AI models with real-time application demands can be complex, and optimizing inference speed without sacrificing model quality is a key consideration. Additionally, collaborating closely with product managers, data scientists, and DevOps teams is essential to align AI outputs with business goals and maintain robust, ethical AI practices.

What are GenAI Developers?

GenAI Developers are professionals who design, build, and optimize applications using generative artificial intelligence technologies. They work with models such as GPT, DALL-E, or Stable Diffusion to create tools for generating text, images, code, and other content. These developers need strong programming skills, a solid understanding of machine learning, and experience working with AI frameworks and APIs. Their responsibilities often include training custom models, integrating AI into products, and ensuring ethical use of generative AI solutions.

What is the difference between Genai Developer vs Machine Learning Engineer?

AspectGenai DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming and ML skills
Work EnvironmentDevelops AI models focused on generative AI, often in AI startups or tech companiesBuilds and deploys ML models across various industries, including tech, finance, healthcare
Employer & Industry UsagePrimarily in AI-focused companies, research labs, and tech firmsWidely used across industries like tech, finance, healthcare, and retail

While both roles involve AI and machine learning, Genai Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a broader range of ML models for various applications. The roles overlap in skills and tools but differ in focus and industry applications.

Infographic showing various Genai Developer job openings in Quebec as of May 2026, with employment types broken down into 89% Full Time, 7% Part Time, 2% Temporary, and 2% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution.
GenAI, Agentic AI developer for Financial/Regulatory Reporting (Hybrid)

GenAI, Agentic AI developer for Financial/Regulatory Reporting (Hybrid)

Morgan Stanley

Montreal, QC • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

38th of 138 rated financial services


Job description

We're seeking someone to join our Morgan Stanley Regulatory Reporting team as a GenAI, Agentic AI developer in Finance Technology, to develop applications to provide services for Morgan Stanley's Regulatory Reporting groups as well as to report and file important disclosures to regulatory bodies across the globe. You will be expected to work as a member of the development team and participate in all aspects of the software development lifecycle, with automated testing, tools, and shared libraries development. The ideal candidate will possess solid technical and problem-solving skills as well as the drive to learn more about business and new technologies. Candidate should be open to work from front to back on applications and must have a sound grasp of development best practices and system architecture.

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 Software Engineering II position at Associate level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.

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, develop, and deploy GenAI-powered solutions using agentic AI frameworks (LangChain, CrewAI) to automate and augment regulatory reporting and data workflows.

  • Build and maintain Retrieval-Augmented Generation (RAG) pipelines leveraging Vector Databases (FAISS, pgvector, Elastic Search) for intelligent document retrieval, data sourcing, and knowledge management.

  • Leverage AI-assisted development tools and agentic coding workflows within IDEs (VS Code, IntelliJ) to accelerate development, improve code quality, and drive engineering productivity.

  • Consolidate data sourcing, integration, and verification across Control Functions to ensure consistent, controlled, and auditable outputs.

  • Onboard and configure Axiom solution templates for regulatory reports (e.g., 14A DFAST, SEC Focus Brazil DLO, SPED), including mapping, validation, and deployment support.

  • Analyze platform hygiene and DevOps gaps and define a prioritized remediation plan (standards, CI/CD, monitoring, environment controls).

  • Implement and optimize business logic and data transformations using Scala/Spark (with testing and performance considerations).

  • Build and maintain Power BI dashboards and KPIs (data quality, reconciliations, SLA/operational metrics) with reliable refreshes.

What you'll bring to the role:

  • Hands-on experience building GenAI applications using LangChain, CrewAI, or similar agentic AI frameworks

  • Practical experience with Retrieval-Augmented Generation (RAG) patterns and Vector Databases such as FAISS or pgvector

  • Proficiency with AI-assisted and agentic development workflows using IDEs such as VS Code and IntelliJ

  • Experience incorporating AI-assisted development tools (e.g., GitHub Copilot, Claude) with an engineering approach

  • 1+ years in Regulatory Reporting tool Axiom or Suade

  • 2-3+ years software development experience in Java Scala/Spark or Database (SQL, Snowflake (preferred), Postgres)

  • Experience with PowerBI

  • Knowledge of Unix commands/shell or Python scripting (a plus)

  • Experience with Azure cloud technologies such as Databricks (a plus)

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.


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