Production AI & Data Platform Lead

The Carlyle Group; Washington (District of Columbia); Presencial; USD 180.000 - 260.000; Jornada completa

Descripción de la vacante

The Carlyle Group seeks a hands-on Engineering Manager to lead AI and data engineering for Global Private Equity. You will design and ship production AI capabilities on a Snowflake/AWS cloud platform, manage contract engineers, and set engineering standards while delivering reliable data services to investment teams and leadership.

You will oversee AI/LLM tool development, evaluation, security, and governance, with a focus on data quality and scalable data products.

Formación

• 7+ years of software engineering, data engineering or technical analytics experience.
• 3+ years building and operating production software or data solutions used by business stakeholders.
• 2+ years leading engineering delivery, backlog ownership and setting technical direction.
• Strong proficiency in Python and SQL, plus experience with C#/.NET or TypeScript.
• Experience shipping LLM-powered applications to production and using AI tools in a team setting.
• Experience with cloud data platforms and modern transformation tooling (Snowflake, Databricks, dbt, Spark).
• Experience with AWS or Azure, CI/CD and infrastructure as code (Terraform).
• Knowledge of MCP, governance, and data security practices.

Responsabilidades

• Design, build and deploy LLM-powered tools, agents and integrations for governance and natural-language data access.
• Define evaluation cases, regression suites and acceptance criteria for AI features.
• Build security and governance controls into architecture (OAuth/OIDC, row-level security, guardrails).
• Lead and mentor contract engineers, data engineers and QA while coding regularly.
• Maintain governed data models and metadata for trust and single source of truth.
• Champion automated testing, CI/CD and IaC across environments.
• Own production AI services reliability, incident response and runbooks.
• Ensure data quality and auditable data for valuations and investor reporting.
• Support cloud modernization and migration of workloads to the platform.
• Adopt AI coding assistants and agent workflows with guardrails and documentation.
• Collaborate with product owners to translate business needs into backlog and deliverables.

Conocimientos

Python

SQL

C#/.NET

TypeScript

LLM-powered apps

AI/ML

Cloud platforms

Leadership

Security & governance

Data engineering

Educación

CS/Engineering/Finance degree

Cloud or AI certification

Herramientas

Snowflake

dbt

AWS

Azure

Databricks

Terraform

GitHub Actions

Power BI

Jira

Descripción del empleo

The Carlyle Group seeks a hands-on Engineering Manager to lead AI and data engineering for Global Private Equity. You will design and ship production AI capabilities on a Snowflake/AWS cloud platform, manage contract engineers, and set engineering standards while delivering reliable data services to investment teams and leadership.

You will oversee AI/LLM tool development, evaluation, security, and governance, with a focus on data quality and scalable data products.