Conversational AI Specialist, Vice President

711 MS Smith Barney, LLC; United States; On-site; USD 110,000 - 140,000; Full time

Job summary

Morgan Stanley is seeking a Conversational AI Specialist in New York to design and deliver enterprise-grade AI experiences. You will craft conversational interfaces, develop smart automation, and refine models while coordinating with business units, tech partners, and vendors.

Ideal candidates will apply evaluation methodologies, manage multiple initiatives, and drive responsible AI practices across programs. This role offers strong growth within the Wealth Management AI team.

Qualifications

• Experience with conversational AI solutioning/product development/experimentation or innovation.
• Experience with prompt engineering for Commercial or Open Source LLMs (GPT, Claude, Gemini, LLAMA).
• Experience with conversational AI evaluation techniques (F1, RAGAS) and human feedback analysis.
• Strong understanding of artificial intelligence concepts and technologies.
• Excellent communication, interpersonal and leadership skills.
• Proven experience in program or project management.
• Ability to manage multiple projects in a fast-paced environment.
• Solid analytical and problem-solving abilities with keen attention to detail.

Responsibilities

• Develop and maintain differentiated conversational experiences for employee and client virtual assistants.
• Develop and refine context-aware prompts for various use cases and intents.
• Create data-driven methodologies for testing and evaluating AI responses for coherence and bias.
• Identify and troubleshoot issues in LLM outputs and propose improvements.
• Identify risks and implement mitigation strategies to ensure project delivery.
• Establish and maintain effective communication with internal stakeholders and vendors.
• Collaborate with cross-functional teams and external partners.
• Track project performance metrics and identify areas for improvement.

Skills

Conversational AI

Prompt engineering

AI evaluation

AI concepts

Communication

Program/Project management

Multi-project management

Analytical thinking

Leadership

Job description

Conversational AI Specialist, VP New York Plaza, NYC

COMPANY PROFILE

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

About Firm wide AI

The Wealth Management Generative AI Team at Morgan Stanley is a dynamic and innovative department that serves as a Center of AI enablement. The team is responsible for deploying advanced systems that utilize generative artificial intelligence to optimize business processes. The team oversees governance and control measures to ensure the ethical and responsible use of AI technologies. The team is committed to fostering a culture of continuous learning and provide education on AI technologies to other departments within the company.

Position Overview

We are seeking a highly skilled and motivated Conversational AI Specialist with a strong background in conversational design and model evaluation to join our team at Morgan Stanley. In this role, you’ll craft enterprise level conversational AI solutions, develop smart automation tools, and refine generative AI models to ensure reliable, quality outputs. This role will liaise with business teams across the Firm, technology, vendors, and centralized AI teams to accelerate the development and adoption of AI-based solutions.

Key Responsibilities

• Conversational Experiences: Develop and maintain differentiated conversational experiences for employee and client virtual assistant experiences that allow users to access knowledge, data and workflows.
• Prompt Solutioning: Develop and refine context-aware prompts tailored to different use cases, domains, and user intents with a view of improving the accuracy, relevance and efficiency of AI generated chatbot responses. Ensure these prompt solutions are scalable, sustainable, effectively integrates with technical infrastructure, and successfully meet the specific needs of the business.
• Testing and Evaluation: Develop and maintain data driven methodologies for testing and evaluating Generative AI responses for coherence, bias, factual accuracy and user satisfaction. Create and manage human evaluations – manual and automated strategies such as LLM-as-a-judge – to ensure LLM Model outputs meet high standards.
• Troubleshooting and Optimization: Identify and troubleshoot issues and anomalies in the LLM model outputs and provide feedback and recommendations for solution improvement and optimization.
• Risk Management: Identify potential risks and issues that may impact project delivery and develop mitigation strategies to address them proactively. Monitor project performance and implement corrective actions as necessary to ensure successful outcomes.
• Stakeholder Management: Establish and maintain effective communication channels with internal stakeholders such as tech partners and business product owners. Manage expectations and address any concerns or issues that arise.
• Collaboration: Collaborate with cross-functional teams, including internal stakeholders and vendor partners.
• Performance Monitoring and Reporting: Track project performance metrics and KPIs to measure progress against objective and identify areas for improvement.

Qualifications/Skills Required or Preferred

• Experience with Conversational AI solutioning / product development / experimentation or Innovation.
• Experience with prompt engineering for using Commercial or Open Source LLMs such as GPT, Claude, Gemini, LLAMA.
• Experience with conversational AI evaluation techniques such as F1, RAGAS, and human feedback analysis.
• Strong understanding of artificial intelligence concepts and technologies.
• Excellent communication, interpersonal and leadership skills.
• Proven experience in program or project management.
• Ability to manage multiple projects simultaneously in a fast-paced environment.
• Solid analytical and problem-solving abilities with keen attention to detail.

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 $110,000 and $140,000 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.