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Morgan Stanley's Investment Banking & Global Capital Markets Technology department is looking for an Executive Director to lead and mentor a team of developers in the design, development, and deployment of agentic GenAI applications for Investment Banking. This is a hands-on technical leadership role, blending deep software development expertise with team management to deliver innovative AI-driven solutions.The ideal candidate will have experience building software platforms on prem and in the cloud, data engineering, and API-based development. This role also requires experience implementing solutions using Generative AI, and the candidate should have a passion for using AI to increase productivity as well as an entrepreneurial mindset to generate ideas for new products as opportunities are identified. The successful candidate must be able to demonstrate technical leadership and a track record of driving innovation.This is an exciting opportunity for a development manager to shape the future of cutting-edge agentic AI solutions.Key Responsibilities
- Architect and oversee the development of agentic GenAI applications, ensuring high-quality, scalable, and secure solutions
- Design and manage data pipelines and model integration, ensuring optimal performance and data quality
- Drive rapid prototyping, experimentation, and iteration of GenAI features and capabilities
- Ensure compliance with security and regulatory standards relevant to AI in financial services
- Actively contribute to coding, code reviews, and technical problem-solving alongside your team
- Guide and mentor developers, fostering skill growth and best practices in AI/ML and software engineering
- Report on project progress, technical challenges, and team needs to senior leadership
Experience & Qualifications
- 5+ years of hands-on AI/ML development experience, including at least 1 year in technical leadership or team lead capacity
- Proven track record of building and deploying AI applications, preferably in finance, investment banking, or related industries
- Strong background in large language models (LLMs), agentic AI frameworks, and modern software engineering
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
Core Skills
- Advanced proficiency in Python and AI/ML techniques
- Experience with prompt engineering, fine-tuning, and deploying LLMs in production environments
- Experience with agentic AI orchestration frameworks and multi-agent systems
- Strong software engineering skills: version control, CI/CD, testing, and code optimization
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
- Ability to design scalable APIs and backend systems
- Excellent problem-solving, analytical, and communication skills
Personal Attributes
- Passionate about building innovative AI products and leading teams to technical excellence
- Collaborative, adaptable, and comfortable working in a fast-paced, iterative environment
- Strong communicator, able to bridge technical and business perspectives
What You Can Expect From Morgan StanleyWe are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.Expected base pay rates for the role will be between $180,000 and $260,000 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'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. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.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).Seniority level
Employment type
Job function
- Job functionEngineering and Information Technology
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