Company Profile
The Carlyle Group (NASDAQ : CG) is a global investment firm with $465 billion of assets under management and more than half of the AUM managed by women, across 652 investment vehicles as of June 30, 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 27 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.
Position Summary
The AI Development Lead, Carlyle AlpInvest Technology, will serve as a strategic and technical partner to business stakeholders across the firm, identifying high-value opportunities to drive investment and operational alpha through artificial intelligence. This individual will be responsible for leading the end-to-end design and execution of AI initiatives - from ideation and stakeholder alignment through to deployment and iteration. The role combines deep technical fluency in AI / ML development and prompt engineering with a pragmatic, value-driven approach to applying cutting-edge technologies. Success in this position requires not only technical excellence, but also strong business acumen, intellectual curiosity, and the ability to orchestrate complex AI workflows across diverse datasets, systems, and teams.
This role will blend hands-on development of proprietary AI tools with the thoughtful evaluation and fine-tuning of third-party platforms (e.g., ChatGPT, Hebbia, etc.) to solve pressing business challenges and unlock scale, speed, and strategic insight.
Primary Responsibilities
Strategic Partnering & Use Case Discovery (20%)
Engage with investment professionals, portfolio operations, and functional teams to understand current workflows and pain points
Identify and prioritize high-impact AI opportunities based on business value, feasibility, and alignment with enterprise or portfolio objectives
Translate business problems into well-scoped technical requirements
Solution Design & Execution (25%)
Design and develop custom AI / ML solutions, including fine-tuning of foundation models, retrieval-augmented generation (RAG), and multi-step agents
Rapidly prototype proof-of-concepts (POCs) and iterate based on feedback to drive towards scalable solutions
Apply prompt engineering and chaining techniques to align model behavior with business outcomes
Technical Implementation & Workflow Orchestration (25%)
Build, deploy, and maintain AI workflows that integrate with proprietary and third-party data, tools, and APIs
Develop robust infrastructure for automation, observability, and exception handling across pipelines
Ensure solutions are production-ready, secure, and maintainable, working with DevOps, data engineering, and technology solutions groups
Cross-Functional Leadership & Change Enablement (15%)
Track advancements in the AI ecosystem, including new models, tools, vendors, and regulatory trends
Evaluate third-party platforms for integration, augmentation, or replacement of in-house capabilities
Contribute to the firm's broader AI strategy by synthesizing trends and benchmarking against peers
Documentation & Knowledge Sharing (5%)
Produce high-quality documentation for AI solutions, processes, and architectural decisions
Collaborate and share with the AI Scaler Group learnings and reusable components to drive speed and consistency across internal AI initiatives
Requirements
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
10+ years of overall relevant technical experience, required
5+ years of hands-on AI experience, preferred
Experience in private equity or other related high finance industries, preferred
Competencies & Attributes
AI / ML technical proficiency
Prompt Engineering
Applied LLMs
Workflow orchestration and integration
Business acumen and value orientation
Rapid prototyping and iterative development
Private equity and investment domain knowledge
Full-stack solutioning and engineering
Experience with Palantir
Benefits / Compensation
The compensation range for this role is specific to New York, NY, 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 $180,000 to $200,000.
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.
Development Lead • New York, NY, United States