Global PE Data & AI Engineering Lead

Carlyle Group

Washington (District of Columbia)

Hybrid

USD 150,000 - 210,000

Full time

6 days ago
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Job summary

The Carlyle Group is seeking a hands-on Manager, Global Private Equity Data and AI Engineer to lead AI and data engineering on a cloud platform (Snowflake, dbt, AWS) spanning portfolio data, deals, funds, and valuations. You will own AI-enabled tools and integrations, enabling investment teams to work with governed data.

You will lead a team of contract engineers, ensure data accuracy, security, and reliability, and collaborate with finance, investor relations and leadership.

Qualifications

  • Bachelor’s degree required; quantitative discipline preferred.
  • 7+ years of software engineering, data engineering, or technical analytics.
  • 3+ years building and operating production software or data solutions for business stakeholders.
  • 2+ years leading engineering delivery, backlog ownership, and coding standardization.
  • Strong Python and SQL; experience with C#/.NET or TypeScript.
  • Proven experience shipping LLM-powered applications to production with tool use and agents.
  • Hands-on with Snowflake, dbt, and cloud platforms (AWS/Azure); CI/CD and IaC (Terraform).
  • Knowledge of security, data governance, and auditability for data and AI systems.

Responsibilities

  • Design, build and deploy LLM-powered tools, agents and integrations for investment, valuation and fund teams.
  • Define evaluation cases, regression suites and acceptance criteria for AI features; measure accuracy and latency.
  • Ensure security, governance and auditability; implement guardrails and monitoring.
  • Lead and mentor contract developers and data engineers; set technical direction and review designs.
  • Maintain governed data models, metadata and lineage for trusted reporting.

Skills

Python
SQL
C#/.NET
TypeScript
Snowflake
dbt
AWS
Azure
GitHub Actions
Terraform
LLM-powered apps
Leadership
Communication

Education

Bachelor’s degree

Tools

Snowflake
Databricks
dbt
Terraform
GitHub Actions

Job description

The Carlyle Group is seeking a hands-on Manager, Global Private Equity Data and AI Engineer to lead AI and data engineering on a cloud platform (Snowflake, dbt, AWS) spanning portfolio data, deals, funds, and valuations. You will own AI-enabled tools and integrations, enabling investment teams to work with governed data.

You will lead a team of contract engineers, ensure data accuracy, security, and reliability, and collaborate with finance, investor relations and leadership.

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