Software Engineer

Morgan Stanley • New York, NY

21h

About The Position

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Software Engineering position at the Director level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. 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. We are seeking a skilled GenAI Engineer to join our technology team. In this role, you will be responsible for taking AI/ML proof-of-concepts and experiments and scaling them into secure, resilient, and compliant production solutions. You will work closely with data engineers, product managers, and domain experts to develop GenAI-powered solutions for our investment banking and capital markets businesses.

Requirements

• Bachelor's or Master's in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of hands-on experience building and deploying ML/AI applications into production at scale.
• Demonstrated expertise in Generative AI technologies (e.g., LLMs, transformers, prompt engineering, RAG, Agent, fine-tuning).
• Strong programming skills in Python and one or more ML/Deep Learning frameworks (PyTorch,etc.).
• Experience with MLOps frameworks (Kubeflow, MLflow, Airflow) and productionizing AI applications.
• Deep understanding of cloud infrastructure (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Prior exposure or experience working in investment banking, capital markets, or regulated financial environments.
• Experience integrating ML/AI solutions with enterprise systems and APIs
• Strong problem-solving, communication, and documentation skills.

Nice To Haves

• Experience with data privacy, anonymization, and AI model governance in financial institutions.
• Exposure to knowledge graphs, or hybrid AI architectures.
• Certifications in cloud technologies or ML (e.g., AWS Certified ML Engineer, Azure AI Engineer).

Responsibilities

• Work collaboratively with software engineers and stakeholders to productize GenAI prototypes, ensuring scalability, robustness, and maintainability in a regulated environment.
• Design, implement, and optimize LLM, RAG, or Agentic workflows and GenAI pipelines using Python, Langgraph, or other relevant frameworks.
• Integrate GenAI solutions with complex Investment Banking and Capital Market workflows.
• Ensure GenAI models and applications comply with relevant regulations (e.g., GDPR, SEC) and internal governance.
• Optimize inference speed, resource utilization, and orchestration of GenAI models for production workloads.
• Monitor and troubleshoot production GenAI services, driving continuous improvement.
• Collaborate cross-functionally with technology, product, and domain teams to gather requirements, prioritize features, and deliver end-to-end solutions.
• Document architectural and technical decisions; train and support other teams as needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 5,001-10,000 employees