Senior GenAI and Python Developer (Hybrid) is a Generative AI Engineer role (full-time). with Morgan Stanley. in MONTRÉAL, CA. Imported listing (source: aihiringboard.com). Apply on the employer's site (aihiringboard.com).
Imported listing (source: aihiringboard.com) · Apply on aihiringboard.com
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Imported job description
Sourced from aihiringboard.com
Morgan Stanley is seeking a Senior GenAI and Python Developer to lead the strategy, architecture, and delivery of complex technology solutions. The role involves designing scalable Python and Java solutions, leveraging Generative AI tools, and collaborating with global teams in an Agile environment. This is a Director-level lead software engineering position focused on driving engineering excellence and innovation.
Responsibilities
Design, develop, and implement scalable solutions using Python and some Java within an Agile squad.
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.
Requirements
Overall 6+ years of development experience with 5+ years of hands-on experience in Python.
Morgan Stanley is a global financial services firm that provides investment banking, securities, wealth management, and investment management services to individuals, institutions, and governments. It is a major integrated institution with a massive global presence across 42 countries.
Proven ability to write optimized, efficient, and clean code.
Experience with GenAI coding assistants like Copilot, using Agent mode, Skills, etc.
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.
Proficiency in RDBMS and NoSQL databases, preferably PostgreSQL, MongoDB, and related technologies.
Experience with DevOps practices: CI/CD pipeline management, containerization, observability tools.
Ability to design and implement effective solutions to complex problems.
Strong work ethic, collaborative spirit, and clear communication skills, both oral and written.
Ability to write thorough unit tests covering all major logic components, preferably using coding assistant.
Nice to Have
Experience with Java.
Proven leadership and communication abilities; experience integrating, leveraging, and influencing teams, developers, and programs within a large enterprise.