Responsibilities
- Lead the design and development of high-performance microservices in Java or Scala for real-time fraud detection systems.
- Design scalable architectures integrating large language models, vector search, prompt engineering, and retrieval-augmented generation patterns.
- Implement generative AI features including alert interpretation, anomaly summarization, synthetic data creation, and process automation.
- Develop cloud-native, containerized services using Docker and Kubernetes for deployment readiness.
- Collaborate with data science teams to deploy machine learning and generative AI models into production environments.
- Build APIs to support AI inference, model orchestration, and governance workflows.
- Ensure adherence to responsible AI principles, model risk management, and data privacy regulations.
- Guide engineering teams in continuous integration and delivery, DevOps practices, code quality, and system observability.
- Mentor junior developers and foster a culture of innovation and ongoing technical growth.
- Work closely with fraud analysis, reporting, and data governance teams across the organization.
- Contribute to defining the future-state architecture for enterprise fraud detection platforms.
- Assess emerging AI technologies and frameworks for potential enterprise-wide implementation.
- Support strategic planning and long-term roadmap development for AI-driven solutions.
Compensation
Expected base pay ranges from $150,000 to $210,000 annually at start of employment. Final offer is individualized and part of a broader compensation structure that may include incentives, bonuses, and benefits.
Work Arrangement
Remote (Worldwide)
Team
The role supports building a diverse, inclusive team grounded in integrity and technical excellence, working across global functions to advance AI capabilities.
Other
- Base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
- Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence.
- It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
- Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
Not specified
