Python Software Engineer - AI Platforms

Python Software Engineer - Ai Platforms In Wealth Management Technology

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 Python Software Engineer position at Director 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.

What You'll Do In The Role:

• Design and build distributed, scalable, and reliable AI platforms and use cases
• Integrate with other platforms and data sources through designing and implementing APIs
• Collaborate with other teams to design and develop data tools that support both operations and product use cases.
• Prototype and showcase AI use cases - Be able to complete PoCs and smaller engagements on their own
• Perform analysis of data, logs, architecture requirements to support building of the platform and tools
• Evaluate technologies, participate in PoC and prototyping solutions to improve our capabilities
• Work with vector databases to build performant RAG solution

What You'll Bring To The Role:

• 6+ years of hands-on programming Python (or Java with python at least) – ideally as backend/full stack engineer
• Experience designing and implementing large, distributed platforms
• Knowledge of various components of public and private cloud ecosystems and experience in applying them to practical problems
• Experience in data manipulation, pipelining and MPP systems and concepts
• Strong object-oriented design and analysis skills
• Excellent technical and organizational skills
• Excellent written and verbal communication skills
• Stable knowledge of base concepts and methods around LLMs (RAG, Prompting, etc)
• At least personal hands-on experience with LLMs
• Ability to drive ideas to end results by collaborating and involving the people needed to reach consensus

Nice To Have:

• Background or hands on experience in Machine learning and/or Data science
• Experience with UI and frontend frameworks
• Knowledge of Private Banking & Wealth Management domain
• Hands-on experience and working knowledge with either of the technologies: OpenAI, Scale, Snowflake, Spark, Kore, Node.js
• Hands-on experience with building LLM based solution

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.