Senior AI Solutions - Vice President - Data And Analytics Engineering

Morgan Stanley

Senior AI Solutions - Vice President - Data & Analytics Engineering

Profile Description

We’re seeking someone to join our team as Vice President- Senior AI Solutions. The Firmwide Data Office department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused AI Solutions Engineer with a strong background in working with Generative AI(GenAI), Large Language Models (LLMs), traditional AI, and Natural Language Processing (NLP) techniques. The ideal candidate, in addition to experience in data science, will possess expertise in designing, architecting, and optimising data-intensive systems, with a keen focus on big data analytics. This role offers exciting opportunity to work on cutting-edge projects leveraging LLMs with large volumes of structured and unstructured data as well as building and integrating Knowledge Graph, LLMs and Multiagent systems.

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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.

Data & Analytics Engineering

This is Vice President position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

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. Youll 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. We embrace a culture of experimentation and constantly strive for improvement and learning. Youll 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. Youll combine your design and development expertise with a never-ending quest to create innovative technology through solid engineering practices. Youll work with a highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products to our clients & stakeholders.

Key Responsibilities

• 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.
• 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

• B.E or 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
• 12 + years of total working experience.
• At least 8 years relevant experience would generally be expected to find the skills required for this role
• 8+ 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

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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 whats 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 opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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