AI Engineer, Analyst - Data Analytics & AI

Blackstone Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$80,000–$140,000 / yr
Posted
9 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $178k
This role $110k
$63k most similar roles pay here $242k

This role pays less than 96% of similar roles. Most pay $142,500–$214,000 — the shaded band above. At the midpoint, this role pays about $110k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Blackstone Inc

Blackstone Inc. operates as a global investment firm specializing in real estate, private equity, credit, infrastructure, and life sciences, focusing on creating long-term value for institutional and individual investors.

Blackstone Inc currently has 19 open roles on FindRole.

Listed pay typically runs $160,000–$200,000 across 19 roles with salary data.

Most-posted roles

View all roles at Blackstone Inc

At a glance

TL;DR · AI Engineer, Analyst - Data Analytics & AI

The AI Engineer, Analyst – Data Analytics & AI joins the Data Analytics & AI team within the Alternative Asset Management Technology group. This role focuses on accelerating AI adoption by embedding with business units to shadow live workflows and translate operational friction into a prioritized pipeline of software solutions. You will build and maintain production-grade systems using Python and SQL while developing applied AI features such as agentic workflows, retrieval pipelines, and evaluation tooling. The technical stack includes Git for version control, CI/CD tools, Docker for containerization, and Terraform for cloud deployment. Key responsibilities include creating prompt libraries, leading training sessions, and managing the transition of proofs of concept into production deployments. This role solves the gap between enterprise AI capabilities and daily workflows within private equity, real estate, and private wealth sectors.

What you'll do

  • Shadow live workflows and engage with power users to identify and prioritize technical requirements from business friction.
  • Develop and maintain production software solutions using Python and SQL while ensuring code quality, scalability, and security.
  • Implement deployment best practices including Git version control, CI/CD pipelines, Docker containerization, and Terraform for cloud infrastructure.
  • Build and extend applied AI solutions such as agentic workflows, retrieval pipelines, and evaluation tooling.
  • Create and maintain self-service runbooks and prompt libraries to scale AI adoption across the firm.
  • Transition proofs of concept into supported production deployments while managing multiple concurrent projects.
  • Lead training sessions and talks to promote a culture of data science and AI for both technical and business teams.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Engineering, Finance, or Economics.
  • At least 1 year of experience in AI engineering, software engineering, or data analysis.
  • Fluency in Python and SQL for interacting with data and data warehouses.
  • Applied experience with LLMs, including fine-tuning, prompt engineering, agentic workflows, retrieval, and model evaluation.
  • Experience shipping and maintaining production systems under real user load rather than just prototypes.
  • Proficiency in software development tools including version control (Git), CI/CD, containerization (Docker), and cloud deployment (Terraform).
  • Experience working with non-technical business stakeholders to elicit requirements and shape solutions.
  • Experience working within a technology team for a financial firm is preferred.

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