Lead AI Solutions Engineer - Vice President - Data & Analytics
Posted Apr 21, 2026
As a Lead AI Solutions Engineer at Morgan Stanley, you will be a part of the Cyber Data Risk & Resilience team, playing a key role in transforming how Morgan Stanley operates. **Role Overview:**
- Apply your depth of knowledge and expertise to all aspects of the software development lifecycle, partnering with stakeholders to stay focused on business goals. - Work in a collaborative environment that encourages diversity of thought and creative solutions. - Combine design and development expertise to create innovative technology through solid engineering practices. - Collaborate with cross-functional teams to deploy AI models into production systems and deliver value to the business. - Communicate complex model results and insights to stakeholders through compelling visualizations and narratives. **Key Responsibilities:**
- Design and develop state-of-the-art GenAI and general AI solutions. - Integrate knowledge graph, LLMs, and multi-agent systems. - Leverage NLP techniques to enhance applications in language understanding and generation. - Lead the design and architecture of scalable, efficient, and high-performance data systems. - Stay up to date with the latest trends in AI, NLP, LLMs, and big data technologies. **Qualifications Required:**
- Master's or PhD in Computer Science, Mathematics, Engineering, Statistics, or a related field. - Proven experience in building and deploying 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. - Strong proficiency in Python with experience in frameworks like Pandas, PySpark, TensorFlow, XGBoost. - Experience with big-data technologies and processing large-scale datasets. - Strong communication skills to present technical concepts to both technical and non-technical stakeholders. - Knowledge of Prompt Engineering, Retrieval Augmented Generation (RAG), Vector Databases. - Understanding of multiagent architectures and frameworks for agent development. - Knowledge of Semantic Knowledge Graphs and their integration into AI/ML workflows. Morgan Stanley is a global leader in financial services, committed to diversity and inclusion. At Morgan Stanley, you will have the opportunity to work alongside the best and brightest in an environment that supports and empowers you. The company offers attractive benefits and perks to support employees and their families. Visit https://www.morganstanley.com/about-us/global-offices to learn more about their global offices. As a Lead AI Solutions Engineer at Morgan Stanley, you will be a part of the Cyber Data Risk & Resilience team, playing a key role in transforming how Morgan Stanley operates. **Role Overview:**