AlpInvest Forward Deployed Engineer

Requirements

• Education & Certificates
• Bachelor's degree or higher (MS, PhD, MBA, or equivalent), required
• Concentrations in Computer Science, Engineering, Data Science, Statistics, Mathematics, Finance, or a related technical or quantitative discipline, preferred.
• Professional Experience
• 8+ years of overall relevant technical experience, required.
• Experience in software engineering, forward deployed engineering, applied AI/ML engineering, data-intensive product engineering, or related technical fields, with a proven track record of success.
• Strong hands-on programming skills in Python; experience with additional modern application or backend technologies is preferred.
• Experience designing, building, and deploying production-grade applications, services, APIs, data products, or AI-enabled systems.
• Demonstrated ability to take ambiguous business problems from initial discovery through prototype, deployment, and iteration.
• Experience working directly with senior business stakeholders and translating domain-specific needs into technical solutions.
• Experience integrating structured and unstructured data from multiple systems into end-to-end workflows.
• Familiarity with cloud-based environments, modern data platforms, software development practices, and production system design.
• Experience applying generative AI, LLMs, agent-based systems, retrieval systems, or AI-assisted development workflows is strongly preferred.
• Experience operating in highly ambiguous environments and managing multiple priorities simultaneously.
• Experience within private equity, asset management, investment management, alternative investments, financial services, or investment technology is preferred but not required.
• Familiarity with investment performance metrics, portfolio analytics, fund structures, manager evaluation, or investment pricing is a plus.
• Strong product judgment and a demonstrated ability to turn bespoke solutions into reusable, scalable capabilities.
• Benefits/Compensation
• The compensation range for this role is specific to New York 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 $190,000 to $220,000.
• 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 The Carlyle Group.

Who We Are

Preferred Qualifications

• Concentrations in Computer Science, Engineering, Data Science, Statistics, Mathematics, Finance, or a related technical or quantitative discipline, preferred.
• Strong hands-on programming skills in Python; experience with additional modern application or backend technologies is preferred.
• Experience applying generative AI, LLMs, agent-based systems, retrieval systems, or AI-assisted development workflows is strongly preferred.
• Experience within private equity, asset management, investment management, alternative investments, financial services, or investment technology is preferred but not required.
• Familiarity with investment performance metrics, portfolio analytics, fund structures, manager evaluation, or investment pricing is a plus.
• The compensation range for this role is specific to New York 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.