Morgan Stanley

Morgan Stanley

Conversational AI Specialist, Vice President

Purchase, New York, United States of America · Exec

Sponsorship not specifiedDetected 2 days ago
NLPLLMsA/B TestingProject ManagementStakeholder ManagementLeadershipCommunicationCollaborationProblem Solving

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 84%

Of 76 labor certifications old enough to have been used, 12 expired without the employer filing the next step. Median time from filing to decision: 496 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

188 transfer filings in the last year, covering 587 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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.

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.
  • 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.
  • 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.

Requirements

  • 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.
  • We do it in a way that's differentiated - and we've done that for 90 years.
  • 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.

Nice to have

  • /Skills Required or Preferred: Experience with Conversational AI solutioning / product development / experimentation or Innovation.

Skills

  • As a market leader, the talent and passion of our people is critical to our success.

Company info

  • A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

This listing is sourced directly from Morgan Stanley's careers page and normalized into a canonical job model.