Profile Description

We’re seeking someone to join our Enterprise Technology team as an Automation Engineer ( UiPath/Python/GenAI), in Enterprise Network Services with strong hands-on experience in UiPath and solid fundamentals in Python, with proven experience building automation and AI powered systems. This role sits at the intersection of GenAI/LLMs, software engineering, and intelligent automation, with a focus on delivering production grade, scalable solutions. While UiPath is the primary platform, the role expects openness to explore and adopt other automation platforms such as the Microsoft Power Platform when appropriate.

The ideal candidate understands that AI delivers value only when paired with reliable automations, robust software design, and operational excellence. You have hands on experience with UiPath Studio/StudioX and Orchestrator, and can integrate automations with LLMs, APIs, and enterprise data sources. You are also curious and adaptable, with the ability to evaluate and adopt other platforms (e.g., Power Automate, Power Apps) when they are the best fit.

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:

Design, develop, test, and maintain UiPath automations (REFramework, reusable components, libraries) to automate business processes end to end.
Manage and support automations using UiPath Orchestrator (queues, assets, triggers/schedules, folders, environments) and ensure stable production operations
Build Python utilities/services to extend automations (data processing, custom logic) and integrate them with UiPath via APIs, command line, or service endpoints.
Integrate UiPath workflows with enterprise applications, databases, and REST APIs to enable reliable system-to-system automation
Implement GenAI/LLM capabilities within automation use cases (e.g., summarization, classification, extraction) with focus on accuracy, safety, and measurable outcomes
Build Intelligent Document Processing solutions using UiPath Document Understanding (OCR/extraction, validation, human in the loop) and continuously improve performance
Apply engineering best practices: version control (Git), code reviews, exception handling, logging, and secure credential handling for automations and supporting Python services
Define and execute test strategy for automations (unit/component where applicable, regression/UAT support) and ensure reliable releases
Partner with process SMEs, product/engineering teams to gather requirements, estimate effort, and deliver automations that reduce cycle time and errors
Document solution design, operational runbooks, and support handover; contribute to governance standards and continuous improvement
Plus: evaluate and experiment with other automation platforms (e.g., Microsoft Power Platform) when needed for specific use cases.

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 .
Core Engineering & Automation Skills & professional software development experience
Strong hands-on experience with Python
Experience building or consuming RESTful APIs
Hands on experience with UiPath Studio (workflow design, debugging) and Orchestrator (queues, assets, schedules, folders, triggers); open to exploring other platforms such as Microsoft Power Automate / Power Platform based on use case fit
Experience building production RPA solutions using REFramework, exception handling patterns, and reusable libraries
Experience integrating automations with REST APIs, databases, and Python/ML services Experience with version control systems and collaborative workflows (Git)
UiPath certification (e.g., UiARD) and hands on experience with Orchestrator administration and governance best practices
Experience with UiPath Insights (or equivalent reporting) to monitor automation performance and business impact
Strong software engineering practices in Python (packaging, testing, logging), and building lightweight services/utilities that support RPA
Experience integrating GenAI/LLMs into enterprise workflows (prompting patterns, evaluations, basic guardrails, secure data handling)
Understanding of CI/CD basics for automations and supporting services (source control, branching, release management)
Nice to have: exposure to Microsoft Power Platform (Power Automate) or other automation tools?

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.