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Research Technology Management (Lead Prompt Engineer) VP- Research

at Morgan Stanley

Back to all Data Science / AI / ML jobs
Morgan Stanley logo
Bulge Bracket Investment Banks

Research Technology Management (Lead Prompt Engineer) VP- Research

at Morgan Stanley

JuniorNo visa sponsorshipData Science/AI/ML

Posted 14 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India, United States

The Lead Prompt Engineer / Annotator VP will lead and manage onshore and India-based prompt engineering and annotation teams to design, test, deploy, and monitor GenAI/LLM solutions for research. The role partners with business analysts, subject matter experts, and product teams to identify high-impact automation opportunities, refine prompt strategies using performance metrics, and ensure accuracy, efficiency, and regulatory compliance.

About Morgan Stanley

Since our founding in 1935, Morgan Stanley has consistently delivered first-class business in a first-class way. 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 42 countries. Everything we do at Morgan Stanley is guided by our five core values: Do the Right Thing, Put Clients First, Lead with Exceptional Ideas, Commit to Diversity and Inclusion, and Give Back.

What We Offer

Morgan Stanley offers a dynamic and multifaceted environment which requires individuals to work closely with colleagues across various functions and the Business Unit in onshore regions. You will get to work with extremely talented peers in a meritocratic team-oriented culture.

Role Overview

The Lead Prompt Engineer / Annotator – Vice President, Research Technology Management (RTM) will drive collaboration between prompt engineers and annotators, ensuring seamless workflows and high-performing teams. This role partners closely with business analysts to identify and define high-impact AI use cases, continuously refining prompt strategies based on AI output analysis and performance metrics. The VP will also oversee the evaluation and optimization of deployed AI tools to ensure accuracy, efficiency, and compliance. The Lead Prompt Engineer/Annotator will also work closely with product support teams to troubleshoot and fix prompt- and content-related issues. A team of India-based prompt engineers and annotators will report directly to this role.

Key Responsibilities

  • Lead and collaborate with onshore and offshore prompt engineers and annotators.

  • Design, implement, and manage efficient workflows for prompt development, testing, validation, deployment, and monitoring.

  • Continuously evaluate AI outputs to refine prompt strategies and improve performance.

  • Partner with subject matter experts, business users, and technologists to identify automation opportunities and develop GenAI/LLM-based solutions.

  • Monitor and analyze prompt performance metrics to drive continuous improvement.

  • Support business users in crafting effective prompts for individual use cases.

  • Ensure all prompt-based solutions comply with internal policies and regulatory standards.

  • Oversee the ongoing evaluation and enhancement of deployed AI tools.

Required Skills & Qualifications

  • Min 2 years of hands-on experience in prompt engineering and annotation.

  • Proven experience developing AI solutions for enterprise environments.

  • Demonstrated leadership in managing teams of prompt engineers and annotators.

  • Strong collaboration skills with both technical and business stakeholders.

  • Excellent communication and stakeholder engagement capabilities.

  • Experience working with cross-functional and globally distributed teams.

  • Analytical mindset with a focus on detail and process optimization.

  • Familiarity with financial services, investment research, investment banking, or financial analysis is strongly preferred.

  • Proficiency in foreign languages such as Spanish, Japanese, or Chinese is a plus.

  • Experience with Python is a plus

  • Data engineering and data science experience is a plus

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.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Research Technology Management (Lead Prompt Engineer) VP- Research

at Morgan Stanley

Back to all Data Science / AI / ML jobs
Morgan Stanley logo
Bulge Bracket Investment Banks

Research Technology Management (Lead Prompt Engineer) VP- Research

at Morgan Stanley

JuniorNo visa sponsorshipData Science/AI/ML

Posted 14 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India, United States

The Lead Prompt Engineer / Annotator VP will lead and manage onshore and India-based prompt engineering and annotation teams to design, test, deploy, and monitor GenAI/LLM solutions for research. The role partners with business analysts, subject matter experts, and product teams to identify high-impact automation opportunities, refine prompt strategies using performance metrics, and ensure accuracy, efficiency, and regulatory compliance.

About Morgan Stanley

Since our founding in 1935, Morgan Stanley has consistently delivered first-class business in a first-class way. 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 42 countries. Everything we do at Morgan Stanley is guided by our five core values: Do the Right Thing, Put Clients First, Lead with Exceptional Ideas, Commit to Diversity and Inclusion, and Give Back.

What We Offer

Morgan Stanley offers a dynamic and multifaceted environment which requires individuals to work closely with colleagues across various functions and the Business Unit in onshore regions. You will get to work with extremely talented peers in a meritocratic team-oriented culture.

Role Overview

The Lead Prompt Engineer / Annotator – Vice President, Research Technology Management (RTM) will drive collaboration between prompt engineers and annotators, ensuring seamless workflows and high-performing teams. This role partners closely with business analysts to identify and define high-impact AI use cases, continuously refining prompt strategies based on AI output analysis and performance metrics. The VP will also oversee the evaluation and optimization of deployed AI tools to ensure accuracy, efficiency, and compliance. The Lead Prompt Engineer/Annotator will also work closely with product support teams to troubleshoot and fix prompt- and content-related issues. A team of India-based prompt engineers and annotators will report directly to this role.

Key Responsibilities

  • Lead and collaborate with onshore and offshore prompt engineers and annotators.

  • Design, implement, and manage efficient workflows for prompt development, testing, validation, deployment, and monitoring.

  • Continuously evaluate AI outputs to refine prompt strategies and improve performance.

  • Partner with subject matter experts, business users, and technologists to identify automation opportunities and develop GenAI/LLM-based solutions.

  • Monitor and analyze prompt performance metrics to drive continuous improvement.

  • Support business users in crafting effective prompts for individual use cases.

  • Ensure all prompt-based solutions comply with internal policies and regulatory standards.

  • Oversee the ongoing evaluation and enhancement of deployed AI tools.

Required Skills & Qualifications

  • Min 2 years of hands-on experience in prompt engineering and annotation.

  • Proven experience developing AI solutions for enterprise environments.

  • Demonstrated leadership in managing teams of prompt engineers and annotators.

  • Strong collaboration skills with both technical and business stakeholders.

  • Excellent communication and stakeholder engagement capabilities.

  • Experience working with cross-functional and globally distributed teams.

  • Analytical mindset with a focus on detail and process optimization.

  • Familiarity with financial services, investment research, investment banking, or financial analysis is strongly preferred.

  • Proficiency in foreign languages such as Spanish, Japanese, or Chinese is a plus.

  • Experience with Python is a plus

  • Data engineering and data science experience is a plus

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.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.