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Conversational AI Specialist, Director

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.

The Firmwide Generative AI Team at Morgan Stanley is a dynamic and innovative department that serves as a center of AI enablement for the firm. 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 Director with a strong background in prompt engineering 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.

What you'll do in the role:

Prompt Engineering: 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 robust frameworks for testing and evaluating Generative AI responses for coherence, bias, factual accuracy and user satisfaction. Create and manage comprehensive test sets and human evaluations 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.

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.

Risk Management: Identify potential risk 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.

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, BLEU, ROUGE, 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 a keen attention to detail

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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.

We're committed to bringing passion and customer focus to the business.

Expected base pay rates for the role will be between $90,000 and $155,000 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).

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Average salary estimate

$122500 / YEARLY (est.)
min
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$90000K
$155000K

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What You Should Know About Conversational AI Specialist, Director, Morgan Stanley

As a Conversational AI Specialist Director at Morgan Stanley in New York, you'll be stepping into a pivotal role where innovation meets strategic implementation. This isn't just any director position; it's one where you will elevate the capabilities of conversational AI to new heights. Imagine designing enterprise-level solutions that not only streamline processes but also enhance user experiences across our organization. Your expertise in prompt engineering will be crucial as you'll develop tailored, context-aware prompts that significantly improve chatbot responses. You'll collaborate with cross-functional teams, tackle the intricacies of AI evaluation, and ensure ethical usage of AI technologies. In this role, you'll also monitor project performance metrics to ensure that our AI solutions continually meet the high standards we pride ourselves on. Morgan Stanley values a culture of continuous learning and diversity, so your contributions will foster an environment where innovation thrives. If you're a problem-solver with a love for cutting-edge technology, eager for professional growth in a dynamic setting, we want you on our team. Join us and help shape the future of financial services through the intelligent use of AI.

Frequently Asked Questions (FAQs) for Conversational AI Specialist, Director Role at Morgan Stanley
What are the key responsibilities of a Conversational AI Specialist Director at Morgan Stanley?

The Conversational AI Specialist Director at Morgan Stanley is responsible for creating enterprise-level AI solutions, leading the design and refinement of context-aware prompts, and enhancing the quality of AI-generated responses. In addition, you'll manage stakeholder communication, oversee testing and evaluation frameworks for AI interaction quality, and troubleshoot any issues that arise, ensuring effective delivery of projects.

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What qualifications do I need to become a Conversational AI Specialist Director at Morgan Stanley?

To qualify for the position of Conversational AI Specialist Director at Morgan Stanley, candidates should possess solid experience in conversational AI solutioning, familiarity with prompt engineering using various LLMs, and mastery of evaluation techniques like BLEU and ROUGE. Additionally, strong problem-solving skills, project management experience, and exceptional communication abilities are crucial for success.

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How does Morgan Stanley support the professional growth of a Conversational AI Specialist Director?

Morgan Stanley encourages ongoing professional development for its team members including the Conversational AI Specialist Director. The firm provides a collaborative environment that emphasizes continuous learning, mentorship opportunities, and training in the latest AI technologies to ensure you remain at the forefront of industry standards.

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What is the expected salary range for a Conversational AI Specialist Director at Morgan Stanley?

The expected base pay for a Conversational AI Specialist Director at Morgan Stanley ranges between $90,000 and $155,000 annually. However, actual compensation will be personalized based on individual experience and qualifications, complemented by performance-based bonuses and a comprehensive benefits package.

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What is the culture like for a Conversational AI team at Morgan Stanley?

The culture within the Conversational AI team at Morgan Stanley is dynamic, inclusive, and fosters innovation. The firm is committed to diversity and aims to create an environment that values varied perspectives, encourages cross-collaboration, and emphasizes the importance of ethical AI use, providing a supportive atmosphere for all employees.

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Common Interview Questions for Conversational AI Specialist, Director
What experience do you have with prompt engineering for conversational AI?

When answering this question, highlight specific examples of projects where you've developed prompts tailored for various use cases. Discuss the impact your work had on improving AI output quality and any metrics or evaluations that demonstrate this success.

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Can you describe your experience with testing and evaluating AI models?

In your response, outline the frameworks you've developed for testing AI outputs. Discuss specific evaluation metrics you've used, such as F1 scores or human feedback analysis, to ensure that the models meet set standards and deliver reliable results.

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How would you approach troubleshooting issues with AI-generated outputs?

Detail your systematic approach to identifying and resolving anomalies in AI outputs. Emphasize how you gather data, analyze performance against benchmarks, and implement corrective actions to enhance model accuracy.

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What strategies do you employ for effective stakeholder management?

Explain your communication style and how you build rapport with different stakeholders. Provide examples of how you've successfully managed expectations and resolved conflicts while ensuring that project objectives remain aligned.

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Discuss a time when you collaborated with a cross-functional team to implement an AI solution.

Share a specific project where multi-departmental collaboration was key to success. Highlight your role, the challenges you faced, how you coordinated efforts, and the successful outcomes of the collaboration.

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What risks do you foresee in deploying conversational AI solutions?

Talk about potential risks such as bias in AI responses or ethical concerns in AI governance. Discuss how you would identify these risks proactively and develop strategies to mitigate them, ensuring responsible AI application.

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How do you ensure the quality and coherence of AI-generated responses?

Describe the frameworks or methodologies you use to maintain quality and coherence, such as extensive testing, human evaluations, and continuous feedback loops for refining AI outputs.

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What are some key performance metrics you would track for AI projects?

Identify important KPIs such as user satisfaction scores, response accuracy, processing time, and operational efficiency. Discuss how you would use this data to drive improvements in ongoing AI implementations.

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Describe your experience with commercial or open-source LLMs.

Share your experiences working with various language models, emphasizing your hands-on knowledge in experimenting with them. Discuss specific projects where these models were pivotal and any lessons learned during their application.

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Why do you want to work as a Conversational AI Specialist Director at Morgan Stanley?

Articulate your enthusiasm for the role by connecting your expertise and values with Morgan Stanley's mission. Discuss how you can contribute to their innovative projects and the impact you see yourself making within the firm’s AI initiatives.

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Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has b...

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Full-time, on-site
DATE POSTED
March 30, 2025

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