Senior Full Stack Agentic AI Developer (Hybrid)

Morgan Stanley • Montreal, QC

91d • Hybrid

About The Position

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…

Requirements

• 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.
• Knowledge of French and English is required.

Nice To Haves

• 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.
• Experience with vendor or open-source agent frameworks and SDKs such as Azure Foundry, Copilot Studio, etc.
• UI development using Angular / React Framework.
• Linux/Unix & Shell Scripting: Solid working knowledge.
• Advanced coding and database skills, query and code optimization.
• Exposure to various application designs and patterns for web, batch, and streaming.
• Experience working in global Agile Scrum teams.

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed