Senior Full Stack Agentic AI Developer (Hybrid)

Morgan Stanley; Montreal (administrative region); Hybrid; CAD 120,000 - 180,000; Full time

Job summary

Morgan Stanley Montreal is seeking a Senior Full Stack Agentic AI Developer to advance GenAI capabilities within Non-Financial Risk Tech. Antwerp?

(Note: Montreal team focuses on AI-driven risk solutions and enterprise-grade software.) The role involves design, development, and governance of AI-enabled platforms, collaborating with global teams, and delivering scalable Python/Java solutions in an Agile environment.

Qualifications

• 7+ years of development experience in Python.
• 5+ years hands-on Python; proven ability to write clean code.
• GenAI coding experience with coding assistants like Copilot.
• Proficiency with PostgreSQL, MongoDB, and related technologies.
• Experience with DevOps practices: CI/CD, containerization, observability.
• Strong analytical, teamwork and communication skills.
• Unit testing with comprehensive coverage and tooling.
• Exposure to agent frameworks and SDKs (Azure Foundry, Copilot Studio).
• UI development using Angular/React; Linux/Unix scripting a plus.

Responsibilities

• Design, develop, and implement scalable GenAI-enabled solutions.
• Lead with Python/Java in an Agile squad across global teams.
• Leverage AI tools to boost development velocity and quality.
• Translate business requirements into robust technical designs.
• Participate in Agile ceremonies, report status, adapt to changes.
• Write comprehensive tests for reliability and maintainability.
• Collaborate with vendors and internal programs to integrate data.
• Demonstrate leadership and clear communication across teams.

Skills

Python

GenAI

Databases

SDLC

Testing

Teamwork

Communication

Agile Scrum

UI Development

Linux/Unix

Tools

PostgreSQL

MongoDB

Docker

Kubernetes

Azure Foundry

Copilot Studio

Angular

React

Job description

We're seeking someone to join our team as a Senior Full Stack Agentic AI Developer with expertise in GenAI technologies in Non-Financial Risk Technology to develop advanced capabilities such as rapid AI-assisted coding, requirement gathering, review, governance, deployment, architecture design, and more.

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 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 implement scalable solutions using mainly Python and some Java as part of an Agile squad delivering with a dynamic, global fleet and associated squads.
• Leverage Generative AI tools and coding assistants to enhance development velocity and solution quality.
• Collaborate with global teams to translate business requirements into robust technical solutions.
• Participate in Agile meetings, deliver project status, and adapt to evolving regulatory and business requirements.
• Learn, improve, and apply Morgan Stanley's proprietary frameworks and best practices.
• Write comprehensive tests to ensure code reliability and maintainability
• Respond proactively to change, mastering new technical and business concepts as needed.
• Proven leadership and communication abilities; experience integrating, leveraging, and influencing teams, developers, and programs within a large enterprise

What you’ll bring to the role:

• Python: Overall 7+ years of development experience with 5+ years of hands-on experience in Python. Proven ability to write optimized, efficient, and clean code.
• GenAI Coding Assistant: Experience with coding assistants like copilot, using Agent mode, Skills, etc.
• Databases: Proficiency in RDBMS and NoSQL databases, preferably PostgreSQL, MongoDB, and related technologies.
• SDLC: Experience with DevOps practices: CI/CD pipeline management, containerization, observability tools.
• Analytical Skills: Ability to design and implement effective solutions to complex problems.
• Teamwork & Communication: Strong work ethic, collaborative spirit, and clear communication skills, both oral and written.
• Testing: Ability to write thorough unit tests covering all major logic components, preferably using coding assistant.
• GenAI application development: Usage of LLM models for application, Agentic implementation, usage of tools to integrate data into LLM context, MCP tools and infrastructure, A2A design and development, data solutions for RAG and vector storage, prompt and context authoring, and more. (a plus)
• Experience with vendor or open-source agent frameworks and SDKs such as Azure Foundry, Copilot Studio, etc. (a plus)
• UI development using Angular / React Framework. (a plus)
• Linux/Unix & Shell Scripting: Solid working knowledge. (a plus)
• Advanced coding and database skills, query and code optimization. (a plus)
• Exposure to various application designs and patterns for web, batch, and streaming. (a plus)
• Experience working in global Agile Scrum teams. (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.