Morgan Stanley

Lead AI Solutions Engineer_ Vice President _Data & Analytics

Profile Description

We’re seeking someone to join our team as Lead AI Solution Engineer will be a part of our Cyber Data Risk & Resilience team, to will play a key role in helping transform how Morgan Stanley operates.

CDRR_Technology

The Cybersecurity organization's mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce.

Firmwide Data Office

Data COE team is distributed globally between New York, London, Budapest, India, and Shanghai; and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm. The team vision is a multi-year effort to simplify firm’s data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper, and easier.

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 Lead Data & Analytics position at Vice President Level, which is part of the job family responsible for developing 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:

As a member of our team, we look first and foremost for people who are passionate about solving business problems through innovation and engineering practices.
You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner with stakeholders to stay focused on business goals.
Work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.
Combine your design and development expertise with a never-ending quest to create innovative technology through solid engineering practices.
You'll work with a highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products.
Collaborate with cross-functional teams, including engineers, product owners, and other stakeholders to deploy AI models into production systems and deliver value to the business. Leverage a strong problem-solving mindset to identify issues, propose solutions, and conduct research to enhance the efficiency of AI and machine learning algorithms.
Communicate complex model results and actionable insights to stakeholders though compelling visualizations and narratives.

What you’ll bring to the role:

Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems.
Integrate knowledge graph, LLMs and multiagent systems
Leverage NLP techniques to enhance applications in language understanding, generation, and other data-driven tasks.
Lead the design and architecture of scalable, efficient, and high-performance data systems that support processing of massive datasets of structured and unstructured data.
Use machine learning frameworks and tools to train, fine-tune, and optimise models. Implement the best practices for model evaluation, validation, and scalability.
Stay up to date with the latest trends in AI, NLP, LLMs and big data technologies. Contribute to the development and implementation of new techniques that improve performance and innovation.

Required Skills and Qualifications

Master's or PhD in Computer Science, Mathematics, Engineering, Statistics or a related field
Proven experience building and deploying to production GenAI models with demonstrable business value realization
6+ years' experience in traditional AI methodologies including deep learning, supervised and unsupervised learning, and various NLP techniques (e.g, tokenization, named entity recognition, text classification, sentiment analysis etc.)
Strong proficiency in Python with deep experience using frameworks like Pandas, PySpark, TensorFlow, XGBoost
Demonstrated experience dealing with big-data technologies and the ability to process, clean and analyse large-scale datasets.
Experience designing and architecting high-performance, data-intensive systems that are scalable and reliable.
Strong communication skills to present technical concepts and results to both technical and non-technical stakeholders. Ability to work in a team-oriented and collaborative environment.
Experience with Prompt Engineering, Retrieval Augmented Generation (RAG), Vector Databases
Strong understanding of multiagent architectures and experience with frameworks for agent development
Knowledge of Semantic Knowledge Graphs and their integration into AI/ML workflows

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.