AI Analytics Engineer — Drive Impact & Equity

Growth Equity Interview Guide

City of Rochester (NY)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Health benefits
Paid time off
Equity incentives
Mentoring program
Development opportunities

Job summary

Blackstone is seeking an AI Engineer to join the Data Analytics & AI team in New York. You will collaborate with business units to understand workflows and identify AI-led opportunities to accelerate adoption of data-driven solutions.

You will build and ship software using Python and SQL, develop applied AI solutions, and mentor teams through training sessions. A strong track record of delivering production systems and communicating with non-technical stakeholders is required.

Qualifications

  • 1+ years in AI engineering, software engineering, or data analysis.
  • Proficiency in Python and SQL for data interaction.
  • Experience with LLMs and AI tooling.
  • Proven track record of shipping production systems.
  • Ability to work with non-technical business stakeholders.
  • Strong written and verbal communication skills.

Responsibilities

  • Work closely with business units to understand workflows.
  • Identify and prioritize quick wins and larger projects.
  • Develop and maintain software solutions using Python and SQL.
  • Build applied AI solutions and promote their use across the firm.
  • Lead training sessions for technology and business teams.
  • Manage multiple projects and collaborate with the team.

Skills

AI engineering
Python
SQL
LLMs
Production systems
Stakeholder communication

Education

Bachelor’s or Master’s degree in a relevant field

Job description

Blackstone is seeking an AI Engineer to join the Data Analytics & AI team in New York. You will collaborate with business units to understand workflows and identify AI-led opportunities to accelerate adoption of data-driven solutions.

You will build and ship software using Python and SQL, develop applied AI solutions, and mentor teams through training sessions. A strong track record of delivering production systems and communicating with non-technical stakeholders is required.

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