Generative AI & Machine Learning Engineer

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 Generative AI & Machine Learning Engineering position at the Vice President 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.

Interested in joining a team thats eager to create innovate and make an impact on the world Read on.

Technology works as a strategic partner with Morgan Stanley business units and the worlds leading technology companies to redefine how we do business in ever more global complex and dynamic financial markets. Morgan Stanleys sizeable investment in technology results in quantitative trading systems cutting-edge modeling and simulation software comprehensive risk and security systems and robust client-relationship capabilities plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights our applications and infrastructure give a competitive edge to clients businessesand to our own.

The Team:
The Investment Banking and Global Capital Markets Technology is a globally distributed but close-knit team based in NY LN Mumbai Bengaluru and Pune. We are a highly innovative team that works in small groups that learn grow and succeed together. We follow Agile development practices to deliver high quality solutions that delight our customers. As a member of the team you will interact with others who are genuine and want you to succeed. Your talent experience and voice are valued and will make a difference.

We are seeking an experienced and hands-on engineering leader specializing in Generative AI (GenAI) Large Language Models (LLMs) intelligent agents and Machine Learning. This role is ideal for a technical leader who enjoys solving complex engineering problems working closely with business and technology partners and leading the end-to-end delivery of AI-powered products in a fast-paced investment banking environment.

What youll do in the role:

• Lead the end-to-end design development and delivery of enterprise AI and machine learning solutions from concept through production deployment.

• Architect scalable secure and resilient AI platforms leveraging LLMs Retrieval-Augmented Generation (RAG) intelligent agents and modern machine learning techniques.

• Provide hands-on technical leadership during solution design implementation code reviews and production support.

• Drive technical decision-making to ensure solutions are scalable maintainable and aligned with enterprise engineering standards.

• Collaborate closely with product owners business stakeholders architects and engineering teams to translate business requirements into high-quality technical solutions.

• Lead technical planning estimation sprint execution and delivery across multiple concurrent initiatives.

• Ensure AI solutions are production-ready with appropriate monitoring observability testing security and operational support.

• Drive engineering best practices including CI/CD automated testing code quality infrastructure automation and MLOps.

• Evaluate emerging AI technologies and recommend practical adoption where they improve delivery or engineering productivity.

• Mentor engineers and promote engineering excellence through technical guidance design reviews and knowledge sharing.

What youll bring to the role:

• 10 years of AI/ML and software engineering experience with a proven track record of designing developing and delivering production-grade AI solutions in enterprise environments.

• Proven experience leading engineering teams and delivering complex technology initiatives in large enterprise environments.

• Strong hands-on experience developing production-grade AI and machine learning applications.

• Deep experience with Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) prompt engineering and agent-based architectures.

• Strong programming skills in Python with experience in Java or another enterprise programming language preferred.

• Experience developing distributed systems using microservices REST APIs containerization and cloud-native architectures.

• Experience deploying AI applications using modern MLOps and DevOps practices.

• Strong understanding of software engineering fundamentals including system design scalability resiliency testing and performance optimization.

• Excellent communication skills with the ability to lead technical discussions across engineering and business teams.

• Experience working in Agile software development environments.

• Experience with OpenAI Azure OpenAI LangChain LangGraph or similar AI frameworks.

• Experience with vector databases and Retrieval-Augmented Generation (RAG) architectures.

• Experience building AI copilots workflow automation or agentic AI applications.

Preferred Qualifications

• Experience within Investment Banking Capital Markets or Financial Services technology.

• Experience with Kubernetes Docker GitHub Actions Jenkins MLflow or similar DevOps and MLOps tooling.

• Familiarity with cloud platforms such as Azure AWS or Google Cloud

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley we raise manage and allocate capital for our clients helping them reach their goals. We do it in a way thats differentiated and weve done that for 90 years. Our values - putting clients first doing the right thing leading with exceptional ideas committing to diversity and inclusion and giving back - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll find an opportunity to work alongside the best and the brightest in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe please copy and paste into your browser.

Expected base pay rates for the role will be between $155000 and $215000 per year at the commencement of employment. However 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 is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion where individuals are hired developed and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate bringing a variety of backgrounds talents perspectives and experiences.

For more information please visit: