AlpInvest Forward Deployed Engineer

The Carlyle Group; New York (NY); On-site; USD 190,000 - 220,000; Full time

Benefits offered by this job

Retirement benefits

Health insurance

Life insurance

Disability insurance

Paid time off

Paid holidays

Family planning benefits

Wellness programs

Job summary

The Carlyle Group seeks a Forward Deployed Engineer to partner with investment teams across Primaries, Secondaries, and Co‑Investments. You will translate complex investment workflows into scalable software, data pipelines, and AI‑enabled tools used in day‑to‑day decision making.

You will embed with deal teams, transform prototypes into production products, and help scale capabilities across GP scoring, data ingestion, and pricing workflows, leveraging cloud platforms and modern data

Qualifications

• 8+ years of relevant technical experience required.
• Experience in software engineering, forward deployed engineering, applied AI/ML engineering, data‑intensive product engineering, or related fields.
• Strong hands-on Python programming skills.
• Experience designing, building, and deploying production-grade applications, services, APIs, data products, or AI‑enabled systems.
• Ability to translate ambiguous business problems into technical solutions.
• Experience with cloud environments and modern data platforms.
• Experience applying generative AI, LLMs, agents, retrieval systems, or AI‑assisted development workflows is strongly preferred.

Responsibilities

• Embed directly with investment professionals across Primaries, Secondaries, and Co‑Investments to understand live investment workflows and opportunities for technology to improve decision‑making.
• Translate ambiguous investment and business problems into technical requirements, rapidly test solutions with users, and iterate based on feedback.
• Build applications, services, APIs, data workflows, and AI‑enabled tools that integrate into the day‑to‑day investment process.
• Own solutions from discovery through production deployment, adoption, and iteration.
• Develop understanding of manager selection, fund evaluation, portfolio construction, investment pricing, diligence, and market intelligence workflows.
• Transform analyses and prototypes into scalable workflows and durable product capabilities.

Skills

Python programming

Forward deployed engineering

AI/ML engineering

Data workflows

APIs and services

Cloud platforms

stakeholder collaboration

Ambiguous problem solving

Education

Bachelor’s degree or higher in CS/Engineering/Data Science/Finance

Concentrations in technical or quantitative disciplines

Tools

Cloud platforms

APIs

Job description

Position Summary

Join our dynamic Investment Data Science Team as a Forward Deployed Engineer to partner directly with investment professionals across Primaries, Secondaries, and Co-Investments.

This role sits at the intersection of investing, software engineering, artificial intelligence, data, and product development. The successful candidate will work alongside deal teams to understand complex investment workflows, rapidly build technical solutions against real business problems, and transform successful prototypes into scalable products that enhance investment decision‑making.

Primary Responsibilities

Forward Deployed Engineering & Investment Workflow Development

• Embed directly with investment professionals across Primaries, Secondaries, and Co‑Investments to understand live investment workflows, pain points, and opportunities for technology to improve decision‑making.
• Translate ambiguous investment and business problems into technical requirements, rapidly test solutions with users, and iterate based on real‑world feedback.
• Build applications, services, APIs, data workflows, and AI‑enabled tools that integrate directly into the day‑to‑day investment process.
• Own solutions from initial problem discovery and prototyping through production deployment, adoption, and iteration.
• Develop a strong understanding of manager selection, fund evaluation, portfolio construction, investment pricing, diligence, and market intelligence workflows.

Productization & Scalable Systems

• Transform one‑off analyses, prototypes, and manual processes into repeatable, scalable workflows and durable product capabilities.
• Develop and enhance the technical systems supporting proprietary GP Scoring, including automated data ingestion, scoring workflows, model integration, and investor‑facing experiences.
• Contribute to the end‑to‑end development of One‑Day Pricing capabilities for LP interest transactions, connecting document extraction, entity resolution, investment assumptions, GP Score outputs, portfolio data, and pricing algorithms.
• Build reusable technical components that can scale across deals, GPs, strategies, and AlpInvest business lines.
• Partner with Product, Data Science, Data Engineering, and platform teams to transition successful forward‑deployed solutions into supported production products.

AI, Data & Engineering Innovation

• Build AI‑powered diligence, research, and investment intelligence workflows using LLMs, agents, retrieval systems, and modern application architectures.

• Integrate structured and unstructured data across internal and external investment systems to create decision‑ready workflows for investors.

• Develop reliable orchestration, evaluation, monitoring, and human‑in‑the‑loop patterns for AI‑enabled investment applications.

• Build solutions across a modern data and application ecosystem, including cloud platforms, APIs, data pipelines, document workflows, and investor‑facing applications.

• Identify opportunities to automate repetitive processes, reduce manual intervention, and improve the speed and scalability of investment workflows.

Stakeholder Engagement & Product Partnership

• Build strong relationships with investment professionals and become a trusted technical partner across business lines.
• Work directly with users to uncover underlying needs rather than relying solely on predefined requirements.
• Balance speed, technical quality, user experience, and long‑term scalability when determining how solutions should evolve.
• Communicate technical concepts, tradeoffs, and product decisions clearly to both technical and non‑technical stakeholders.
• Help drive adoption by ensuring solutions fit naturally into how investment professionals work and make decisions.

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

When people, ideas, and capital come together, opportunity expands across private markets. At Carlyle, this belief has shaped how we invest for decades, fueling growth for companies and delivering performance for investors.

Visit our website to learn more about our firm and the ways our platform is shaping private markets.