Job Description:
We're seeking someone to join our AI Security Enablement team as a Python Gen AI Developer in Cyber to implementation of cybersecurity controls to secure firm's use of Artificial Intelligence and Generative AI technologies.
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.
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 Director position that develops and maintains 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:
· Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.
· The design, development, maintenance, and support of web-based applications and/or distributed applications
· Translating high-level business requirements on multiple, complex requests into detailed functional, technical, and/or system specifications and designs.
· Work with cross-functional team to ensure that all key technical requirements are identified, estimated, designed, implemented, and tested.
· Testing and analysing software designs and solutions (including debugging and troubleshooting)
What you'll bring to the role:
· At least 6 years' relevant experience would generally be expected to find the skills required for this role.
· Ability to effectively manage multiple functions or guide junior staff and initiatives.
· 6-8 years of experience as an Application Developer with design and developing multi-tier Python applications
· Understanding of machine learning concepts, model training, and evaluation
· Familiarity with GenAI architectures (e.g. transformers, LLMs like GPT)
· Experience with APIs, especially OpenAI, Azure Open AI and RESTful services.
· Experience of using open-source frameworks like PyTorch, LangChain, etc.
· Knowledge of secure coding, data privacy and adversarial attack vectors
· Familiarity with deployment on Microsoft Azure
· Experience with containerization (Docker and Kubernetes)
· Ability to Query Relational Databases like DB2, Sybase and Cloud data sources like snowflake
· SOAP & REST Web Services with on XML/JSON based data
· Experience with Development tools (Jupyter, VS Code, Maven/Gradle)
· Experience with Git and DevOps tools
· Experience with Jenkins, CI, Sonar
· Experience in the development of service-oriented architecture applications
· A strong understanding of Agile/Scrum and ability to deliver solutions using TDD, BDD
· Excellent problem-solving skills
· Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles
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 that’s differentiated – and we’ve 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 - 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.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
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.
Skills Required
- At least 6 years of relevant experience
- Ability to manage multiple functions or guide junior staff and initiatives
- 6-8 years of experience developing multi-tier Python applications
- Understanding of machine learning concepts, model training, and evaluation
- Familiarity with Generative AI architectures, transformers, and large language models
- Experience with OpenAI, Azure OpenAI, and REST APIs
- Experience with PyTorch and LangChain
- Knowledge of secure coding, data privacy, and adversarial attack vectors
- Familiarity with Microsoft Azure deployment
- Experience with Docker and Kubernetes
- Ability to query DB2, Sybase, Snowflake, and other relational or cloud data sources
- Experience with SOAP and REST web services using XML and JSON
- Experience with Jupyter, Visual Studio Code, Maven, or Gradle
- Experience with Git and DevOps tools
- Experience with Jenkins, continuous integration, and Sonar
- Experience developing service-oriented architecture applications
- Strong understanding of Agile and Scrum
- Ability to deliver solutions using test-driven development and behavior-driven development
- Excellent problem-solving skills
- Strong verbal and written communication skills
- Ability to collaborate across IT and business groups, regions, and roles
Morgan Stanley Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.
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Healthcare Strength — Health coverage is characterized as comprehensive, with medical, dental, vision, and added supports like One Medical and mental-health sessions. Feedback suggests the overall package is strong to excellent for a large financial-services employer.
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Retirement Support — Retirement programs include a 401(k) with company matching and related financial benefits. These features are frequently highlighted as part of a broad, competitive package.
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Parental & Family Support — Family benefits are noted for generous paid parental leave, fertility support, and caregiver leave. Feedback suggests these offerings stand out as a strength within the package.
Morgan Stanley Insights
What We Do
Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.


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