Level

Morgan Stanley

Lead Python Software Engineer for AI Security, Vice President

AI in this role

langchainpytorch

We're seeking someone to join Security Development team as a Security Developer.

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 Vice President level role, which is part of the job family responsible providing specialist cyber expertise and creating solutions that protect the organization's systems and networks against actual and potential security threats and vulnerabilities.

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:

  • Analyze communicated requirements and come up with tech design.

  • Research, develop tech solutions based on communicated requirements and tech design

  • Build solutions to enhance Firm wide cyber security posture, and existing CDRR products/processes via AI.

  • Create documentation/support procedures and assist operation/SRE team for operational work.

  • Enforce software SLDC in the development circle.

  • Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

What you'll bring to the role:

Technical Skills Required

  • Familiar with Python programming language.

  • Experience of using open-source frameworks like pytorch, langchain, etc

  • Familiar with test driven development methodology.

  • Hands-on experience with CI/CD tools like (GIT, Jenkins, Team City)

  • Experience of using database, like RDBMS or NoSQL or graph database.

  • At least 6 years' relevant experience would generally be expected to find the skills required for this role.

Desired Skills:

  • Hands-on experience with generative AI technologies, e.g. finetune, distillation, retrieval-augmented-generation, MCP, A2A

  • Good knowledge of core AI/ML concepts.

  • Experience of data engineering.

  • Experience with Agile methodology, e.g. spring planning, daily Scrum, retrospective etc.

  • Basic knowledge of using Linux.

  • Awareness of Docker, Ansible, Kubernetes, Splunk, Public Cloud management

  • Excellent verbal and written communication skills coupled with a collaborative approach

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

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.

How we score this

Lead Python Software Engineer for AI Security, Vice President at Morgan Stanley scores 33 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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