Morgan Stanley · 1 month ago
Senior AI Solutions Engineer VP - P4
New York, NY
Full-time
Onsite
Mid, Senior Level
$150K/yr - $210K/yr
5+ years expMorgan Stanley is a leading global financial services firm, and they are seeking a Senior AI Solutions Engineer to join their Firmwide Data Office. The role involves designing and developing advanced AI solutions, particularly in Generative AI and Natural Language Processing, to solve complex business problems and enhance data-driven decision-making across the firm.
Asset ManagementFinanceFinancial ServicesLending
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
Qualification
Required
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
5+ 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
Benefits
Some of the most attractive and comprehensive employee benefits and perks in the industry
Company
Morgan Stanley
Morgan Stanley is a financial services company that offers securities, asset management, and credit services.
10001+ employees
H1B Sponsorship
Morgan Stanley has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (222)
2024 (195)
2023 (173)
2022 (153)
2021 (165)
2020 (173)
Funding
Current Stage
Public CompanyTotal Funding
unknown1997-02-05IPO
Leadership Team
James Gorman
Chairman and CEO
Ted Pick
Chief Executive Officer (CEO)
Recent News
2026-01-09
Benzinga.com
2026-01-09
2026-01-09
Company data provided by crunchbase