The Non-Financial Risk AI Technology Team is delivering GenAI and Agentic solutions for the Non-Financial Risk Technology program and Firm: These systems will deliver scalable, governed, and resilient solutions supporting all aspects of AI-related delivery across 1000 developers, 11 departments, and hundreds of business partners addressing critical functions including as Financial Crimes, Fraud, Resilience, Surveillance, and more. The team is responsible for developing advanced capabilities that empower software developers across the entire SDLC by facilitating rapid, AI-assisted coding, requirement gathering, review, governance, deployment, and 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 Software Engineer position, 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, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world

What youll do in the role:

• Design, develop, and implement scalable solutions using primarily 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 youll bring to the role:

• Python: Overall 6+ years of development experience with 4+ years of hands-on experience in Python. Proven ability to write optimized, efficient, and clean code

• Linux/Unix & Shell Scripting: Solid working knowledge

• 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

Some skills you might also bring to the role:

• 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

• 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

#LI-hybrid #LI-FT1 #BPTECH

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 thats differentiated and weve 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 - arent 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, youll 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. Theres 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.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

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.