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AI Data Scientist - Vice President

ExperiencedNo visa sponsorship
Deutsche Bank logo

at Deutsche Bank

Bulge Bracket Investment Banks

Posted a month ago

No clicks

**AI Data Scientist VP - Drive LLM-First Approaches in Cary, NC.**

Compensation
$125,000 – $185,000 USD

Currency: $ (USD)

City
Cary
Country
United States

Full Job Description

AI Data Scientist - Vice President

Job ID:R0431616 Listed: 2026-04-01
Regular/Temporary: Regular
Location: Cary

Position Overview

Job Title: AI Data Scientist

Corporate Title: Vice President

Location: Cary, NC

Who we are:

In short an essential part of Deutsche Banks technology solution, developing applications for key business areas.

Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands-on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally. Our approach to the future of work champions flexibility and is rooted in the understanding that there have been dramatic shifts in the ways we work.

Having first established a presence in the Americas in the 19th century, Deutsche Bank opened its US technology center in Cary, North Carolina in 2009. Learn more about us here.

Overview

As an AI Data Scientist, you will leverage cutting-edge LLM-first approaches to drive exploratory data analysis and rapid semantic clustering. Your expertise will be crucial in scaling prompt-based prototypes into cost-effective embedding and vector pipelines, ensuring both efficiency and accuracy. You will be responsible for driving taxonomy mapping and functional decomposition automation, transforming complex business process data into actionable insights. This role involves designing and executing evaluation experiments, with a deep understanding of prompt evaluation and automated tuning using LLM-as-a-judge frameworks. You will possess mastery of the Python ecosystem, statistical evaluation, and expertise in embeddings tuning, K-means, and graph clustering, contributing to continuous evaluation pipelines like RAGAS or TurLens. Your ability to extract meaningful patterns from terabytes of messy, undocumented legacy system logs and ticket data will be key to mapping operational workflows.

What We Offer You

  • A diverse and inclusive environment that embraces change, innovation, and collaboration
  • A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
  • Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
  • Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
  • Educational resources, matching gift and volunteer programs

What Youll Do

  • Utilize LLM-first approaches for exploratory data analysis and rapid semantic clustering.
  • Scale prompt-based prototypes into cost-effective embedding and vector pipelines.
  • Drive taxonomy mapping and functional decomposition automation.
  • Execute evaluation experiments, focusing on prompt evaluation and automated tuning with LLM-as-a-judge frameworks.
  • Contribute to continuous evaluation pipelines such as RAGAS or TurLens.
  • Process and analyze terabytes of diverse data, including legacy system logs, to map operational workflows.
  • Contribute code to retrieval or chunking modules of major frameworks like LlamaIndex or LangChain.

How Youll Lead

  • Apply expertise in embeddings tuning, K-means, and graph clustering.

Skills Youll Need

  • Mastery of prompt evaluation and automated tuning with LLM-as-a-judge frameworks.
  • Deep knowledge of the Python ecosystem and statistical evaluation.
  • Expertise in embeddings tuning, K-means, and graph clustering.
  • Experience with continuous evaluation pipelines like RAGAS or TurLens.
  • Proven ability to design dynamic routing or softmax-based thresholding pipelines to optimize LLM inference costs and accuracy.

Skills That Will Help You Excel

  • Experience processing large volumes of unstructured data using statistical evaluation and natural language processing.
  • Contributions to retrieval or chunking modules of major frameworks.

Expectations

It is the Banks expectation that employees hired into this role will work in the Cary office in accordance with the Banks hybrid working model.

Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.

The salary range for this position in Cary is $125,000 to 185,000. Actual salaries may be based on a number of factors including, but not limited to, a candidates skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.

Deutsche Bank Benefits

At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. Thats why we are focused on providing benefits and perks that enable our colleagues to live authentically and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more!

Learn more about your life at Deutsche Bank through the eyes of our current employees: https://careers.db.com/life

The California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Banks California Privacy Notice please email HR.Direct@DB.com.

#LI-HYBRID

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.


Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view "Deutsche Banks Equal Opportunity Policy Statement" and the following notices: "EEOC Know Your Rights"; "Employee Rights and Responsibilities under the Family and Medical Leave Act"; and "Employee Polygraph Protection Act".

Apply now

SIMILAR OPPORTUNITIES

No similar opportunities available at the moment.

AI Data Scientist - Vice President

Compensation

$125,000 – $185,000 USD

City: Cary

Country: United States

Deutsche Bank logo
Bulge Bracket Investment Banks

a month ago

No clicks

at Deutsche Bank

ExperiencedNo visa sponsorship

**AI Data Scientist VP - Drive LLM-First Approaches in Cary, NC.**

Full Job Description

AI Data Scientist - Vice President

Job ID:R0431616 Listed: 2026-04-01
Regular/Temporary: Regular
Location: Cary

Position Overview

Job Title: AI Data Scientist

Corporate Title: Vice President

Location: Cary, NC

Who we are:

In short an essential part of Deutsche Banks technology solution, developing applications for key business areas.

Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands-on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally. Our approach to the future of work champions flexibility and is rooted in the understanding that there have been dramatic shifts in the ways we work.

Having first established a presence in the Americas in the 19th century, Deutsche Bank opened its US technology center in Cary, North Carolina in 2009. Learn more about us here.

Overview

As an AI Data Scientist, you will leverage cutting-edge LLM-first approaches to drive exploratory data analysis and rapid semantic clustering. Your expertise will be crucial in scaling prompt-based prototypes into cost-effective embedding and vector pipelines, ensuring both efficiency and accuracy. You will be responsible for driving taxonomy mapping and functional decomposition automation, transforming complex business process data into actionable insights. This role involves designing and executing evaluation experiments, with a deep understanding of prompt evaluation and automated tuning using LLM-as-a-judge frameworks. You will possess mastery of the Python ecosystem, statistical evaluation, and expertise in embeddings tuning, K-means, and graph clustering, contributing to continuous evaluation pipelines like RAGAS or TurLens. Your ability to extract meaningful patterns from terabytes of messy, undocumented legacy system logs and ticket data will be key to mapping operational workflows.

What We Offer You

  • A diverse and inclusive environment that embraces change, innovation, and collaboration
  • A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
  • Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
  • Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
  • Educational resources, matching gift and volunteer programs

What Youll Do

  • Utilize LLM-first approaches for exploratory data analysis and rapid semantic clustering.
  • Scale prompt-based prototypes into cost-effective embedding and vector pipelines.
  • Drive taxonomy mapping and functional decomposition automation.
  • Execute evaluation experiments, focusing on prompt evaluation and automated tuning with LLM-as-a-judge frameworks.
  • Contribute to continuous evaluation pipelines such as RAGAS or TurLens.
  • Process and analyze terabytes of diverse data, including legacy system logs, to map operational workflows.
  • Contribute code to retrieval or chunking modules of major frameworks like LlamaIndex or LangChain.

How Youll Lead

  • Apply expertise in embeddings tuning, K-means, and graph clustering.

Skills Youll Need

  • Mastery of prompt evaluation and automated tuning with LLM-as-a-judge frameworks.
  • Deep knowledge of the Python ecosystem and statistical evaluation.
  • Expertise in embeddings tuning, K-means, and graph clustering.
  • Experience with continuous evaluation pipelines like RAGAS or TurLens.
  • Proven ability to design dynamic routing or softmax-based thresholding pipelines to optimize LLM inference costs and accuracy.

Skills That Will Help You Excel

  • Experience processing large volumes of unstructured data using statistical evaluation and natural language processing.
  • Contributions to retrieval or chunking modules of major frameworks.

Expectations

It is the Banks expectation that employees hired into this role will work in the Cary office in accordance with the Banks hybrid working model.

Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.

The salary range for this position in Cary is $125,000 to 185,000. Actual salaries may be based on a number of factors including, but not limited to, a candidates skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.

Deutsche Bank Benefits

At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. Thats why we are focused on providing benefits and perks that enable our colleagues to live authentically and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more!

Learn more about your life at Deutsche Bank through the eyes of our current employees: https://careers.db.com/life

The California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Banks California Privacy Notice please email HR.Direct@DB.com.

#LI-HYBRID

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.


Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view "Deutsche Banks Equal Opportunity Policy Statement" and the following notices: "EEOC Know Your Rights"; "Employee Rights and Responsibilities under the Family and Medical Leave Act"; and "Employee Polygraph Protection Act".

SIMILAR OPPORTUNITIES

No similar opportunities available at the moment.