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.
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.
