We’re seeking someone to join our CDRR Technology team as a Sr AI Developer, in Non-Financial Risk Technology to design, build, and support production-grade AI applications and agentic LLM solutions using Python and modern ML/LLM frameworks.

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:

Build systems using LLMs and multimodal models, retrieval and vector databases, and orchestration frameworks (e.g., LangChain/LangGraph, MCP), integrated with internal tools and data.
Own the full lifecycle: discovery, prototyping, validation, deployment, monitoring, iteration, and support.
Track new model releases, vendor updates, and emerging patterns in agentic AI.
Run targeted experiments with new capabilities and share timely recommendations that influence roadmaps and standards.
Implement solutions for environment configuration (Dev/QA/Prod) and, build processes while documenting efforts and experiences with a focus on educating others to ensure reliability and ongoing supportability of the platform.
Write production-quality code and integrate APIs across internal platforms and external providers (e.g., Google, OpenAI, Databricks, AWS, Microsoft).
Make pragmatic architectural decisions balancing speed, scale, security, reliability, and cost.
Build reusable components, templates, and playbooks that accelerate future development and reduce friction for downstream teams.
Participate in technology evaluations and play an active role in ongoing strategy based on technology trends, best practices and industry standards.
Bachelor's degree in computer science, or a related field, or equivalent experience.

What you’ll bring to the role:

6+ years of hands-on development experience in Python and LLMs such as OpenAI, ChatGPT, Claude, and/or Copilot.
Evaluate model capabilities and select appropriate AI tools based on workflow needs, risk profile, and operational constraints.
Design guardrails for agentic systems, including tool safety, security controls, data handling, and human-in-the-loop review as needed.
Partner with Standards, Legal, Security, and GRC to ensure compliant data use, responsible deployment, and audit-ready practices.
Establish monitoring and incident response patterns to detect issues and maintain trust and reliability at scale.
Basic Linux and Windows command-line knowledge
Experience with DevOps practices and CI/CD technologies including Jenkins, Stash, GitHub, Git, Jira (or equivalents).
Experience with Kubernetes (EKS/AKS/GKE/OpenShift) in a clustered environment.
Track record of having worked on, and been involved in, the deployment and management of infrastructure at scale.
Able to troubleshoot, problem solve and be an analytical thinker.
Strong interpersonal, written, and verbal engagement skills ensuring an ability to communicate at all levels across multiple project aspects.
Focus on good time-management, task prioritization and an ability to meet agreed upon deadlines.
Confidence in your skills, a self-starter and a team player possessed with a high level of commitment and enthusiasm.
Familiarity with, or experience working in, an Agile environment leveraging Kanban or Scrum.
Thorough understanding of security architecture principles, design, and engineering best practices.

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.