Job Summary:
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help clients achieve their financial goals. The Senior AI Engineer will lead the development of Python-based AI applications, collaborating with Market Risk teams to design scalable solutions that enhance data access and AI-driven insights.
Responsibilities:
• Build and own Python-based AI applications leveraging natural language interfaces, Large Language Models, data analytics, and automation.
• Deliver innovative applications and tools that allow business users onboard and manage their datasets and leverage self-service analytics.
• Architect and manage RESTful services for large-scale enterprise solutions using open standards.
• Optimize data ingestion and processing pipelines for efficiency and performance.
• Collaborate with Firm Risk Management stakeholders to understand requirements and deliver AI solutions.
• Provide technical leadership and mentorship to developers within the agile squad.
Qualifications:
Required:
• Strong hands-on application development experience in Python, including building service APIs using frameworks such as FastAPI or Flask.
• Proven experience designing and delivering production-grade AI or LLM-based applications.
• Solid understanding of data engineering fundamentals including SQL, data modeling and data lifecycle management.
• Hands-on experience with concurrency and performance optimization (multiprocessing, multithreading, asynchronous I/O).
• Practitioner of unit testing, integration and performance testing.
• Experience owning systems in production, including reliability, incident management, and continuous improvement.
• Ability to set technical direction make architectural decisions, and mentor senior engineers.
• Bachelor’s or Master’s degree in Computer Science or related field, or equivalent experience.
• 5+ years of related experience.
Preferred:
• Experience with agentic workflows, natural language or 'talk-to-data' systems.
• Hands-on experience with OpenTelemetry and observability tooling (Grafana, Prometheus).
• Experience with cloud-native architectures, including Docker and Kubernetes.
• Familiarity with data streaming, messaging, or caching technologies (Kafka, Redis).
• Exposure to CI/CD, DevOps, or GitOps practices (e.g., Jenkins, GitHub Actions).
Company:
Morgan Stanley is a financial services institution that delivers capital management, investment banking, and advisory solutions. Founded in 1935, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.