Basic information
Job Name:
Manager, AI Solutions
Location:
Washington, DC
Line of Business:
Global Technology & Solutions
Job Function:
Investor Services
Date:
Friday, June 27, 2025
Manager, AI Solutions
The Carlyle Group
Software Engineering, Data Science
Washington, USA
USD 155k-175k / year
Posted on Jun 28, 2025
Position Summary
Carlyle’s Global Private Equity (GPE) Technology team within Global Technology & Solutions (GTS) is seeking a sharp, technical, and business-savvy Manager, AI Solutions, to help deliver high-impact AI tools that enhance how deal teams work, research, and make decisions.
Outstanding analytical and written communication skills are essential, particularly the ability to translate complex technical concepts into clear, structured prompts, documentation, and business-facing insights.
You’ll help unlock the full value of Carlyle’s proprietary data, unstructured intelligence, and domain expertise—bringing it directly into the hands of deal professionals. This is a rare opportunity to help shape how a global investment platform adopts and scales AI—turning product vision into real-world impact.
This role sits at the intersection of product thinking, prompt engineering, and data-driven experimentation. You will partner closely with investment professionals to identify use cases, craft intelligent prompts, and prototype proof-of-concepts (POCs) using internal data and external APIs.
The ideal candidate brings a blend of analytical skill, communication finesse, and technical curiosity. You’ll be key to turning Carlyle’s institutional knowledge into scalable, workflow-native AI capabilities.
Responsibilities
AI Use Case Development
- Collaborate with deal teams and product leads to understand workflows and identify AI opportunities
- Translate qualitative insights into technical prompts, user flows, and prototype requirements
- Work closely with the AI Product Manager to prioritize and deliver pilot projects
Prompt Engineering & Prototyping
- Demonstrated experience applying NLP and data science techniques—such as embeddings, summarization, and vector search—to solve practical problems
- Familiarity with modern LLM frameworks (e.g., LangChain, LlamaIndex, Hugging Face) is preferred
- Design and optimize LLM prompts for tools like ChatGPT, Claude, and Hebbia
- Develop structured prompt chains and validate model output quality
- Build early POC functionality in Python using vendor APIs, LangChain/RAG frameworks, or vector stores, with a strong bias toward rapid prototyping and iterative development. Leverage vendor APIs, commercial platforms, or low-code tools to validate use cases efficiently.
Data Understanding
- Analyze internal data sets (Snowflake, Chronograph, unstructured documents) to inform prompt design
- Partner with data stewards and analysts to ensure appropriate access, security, and formatting
- Help identify the best source of truth for AI-powered use cases
Stakeholder Engagement
- Partner with deal teams to test early features and collect feedback
- Create training materials and demos to increase adoption and understanding
- Serve as the connective tissue between investment users and technical builders
Qualifications
Education & Certificates
- Bachelor’s degree required
- Concentration in computer science, data science, finance, economics, mathematics, or any quantitative field, preferred
- Master’s degree in computer science, data science, finance, economics, mathematics, or any quantitative field, preferred
Professional Experience
- Minimum of 6+ years of relevant technical experience, required
- Experience in a business analyst, product analyst, or applied data role (financial services or enterprise SaaS), preferred
- Background in private equity, finance, or consulting is a plus
Competencies & Attributes
- AI/ML technical proficiency
- Prompt Engineering
- GenAI Tooling & Orchestration
- Full-stack development and deployment
- Business Contextualization
- Experience working with LLMs (e.g., ChatGPT, Claude) and understanding of prompt design best practices
- Proficiency in Python and experience calling APIs or working with LLM frameworks (e.g., LangChain, OpenAI, Anthropic)
- Strong analytical thinker with experience working with structured data sets (SQL, Snowflake, etc.)
- Exceptional written and verbal communication skills
- Curious, resourceful, and energized by emerging AI capabilities
Benefits/CompensationThe compensation range for this role is specific to Washington, DC and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
The anticipated base salary range for this role is $155,000 to $175,000.
In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.
Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.
Company Information
The Carlyle Group (NASDAQ: CG) is a global investment firm with $453 billion of assets under management and more than half of the AUM managed by women, across 641 investment vehicles as of March 31, 2025. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,300 professionals operating in 29 offices in North America, Europe, the Middle East, Asia and Australia. Carlyle places an emphasis on development, retention and inclusion as supported by our internal processes and seven Employee Resource Groups (ERGs). Carlyle's purpose is to invest wisely and create value on behalf of its investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle AlpInvest - and has expertise in various industries, including: aerospace, defense & government services, consumer & retail, energy, financial services, healthcare, industrial, real estate, technology & business services, telecommunications & media and transportation.
At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." We strive to foster an environment where ideas are openly shared and valued. By bringing together teams with varied expertise and approaches, we enjoy a competitive advantage and create a stronger foundation for long-term success.