Conversational AI Specialist, Vice President

Position title:

Conversational AI Specialist, VPNew 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 AIThe 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…