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Morgan Stanley

Manages investments and advises on financing

Conversational AI Specialist, Vice President

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeHarrison, NY, USA$110k - $140k /yrIn-person

About the Job

Requirements

  • Experience with conversational AI solutioning, product development, experimentation, or innovation.
  • Experience with prompt engineering using commercial or open-source large language models such as GPT, Claude, Gemini, or LLaMA.
  • Experience with conversational AI evaluation techniques such as F1, RAGAS, and human feedback analysis.
  • Strong understanding of artificial intelligence concepts and technologies.
  • 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.

Responsibilities

  • Develop and maintain differentiated conversational experiences for employee and client virtual assistants that allow users to access knowledge, data, and workflows.
  • Develop and refine context-aware prompts tailored to different use cases, domains, and user intents to improve the accuracy, relevance, and efficiency of AI-generated chatbot responses. Ensure prompt solutions are scalable, sustainable, effectively integrated with technical infrastructure, and meet business needs.
  • 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, including manual and automated strategies such as LLM-as-a-judge, to ensure large language model outputs meet high standards.
  • Identify and troubleshoot issues and anomalies in large language model outputs, and provide feedback and recommendations for solution improvement and optimization.
  • 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.
  • Establish and maintain effective communication channels with internal stakeholders, including technology partners and business product owners. Manage expectations and address concerns or issues that arise.
  • Collaborate with cross-functional teams, including internal stakeholders and vendor partners.
  • Track project performance metrics and key performance indicators to measure progress against objectives and identify areas for improvement.

About the Company

Morgan Stanley

Manages investments and advises on financing

Morgan Stanley advises companies and governments on financing and manages investments for institutions, individuals, and families. Its business combines investment banking and securities trading with wealth management and an asset-management division that invests across public and private markets. Bankers arrange stock and bond sales and advise on mergers, while advisors build client portfolios and fund managers invest money under agreed strategies. The firm earns advisory and management fees, trading revenue, commissions, and interest from lending and deposits. Morgan Stanley was founded as a partnership in 1935 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1935

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