Generative AI & Machine Learning Engineer

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 you'll 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 you'll 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 that's differentiated - and we've 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 - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.

At Morgan Stanley, you'll 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.

There's 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 https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $155,000 and $215,000 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: https://www.morganstanley.com/people-opportunities/eeo. At Morgan Stanley, we advise, originate, trade, manage and distribute capital for people, governments and institutions, always with a standard of excellence and guided by our core values. Morgan Stanley is dedicated to providing first-class service to our clients, in a way that reflects our commitment to creating a more sustainable future and fostering stronger communities around the world.

In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading-edge solutions-and in the ability of capital to work for the benefit of all society. What We Do