Generative AI Engineer, Vice President

Goldman Sachs

Quick summary

Work type
On-site
Location
Dallas, TX
Posted
1 day ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $208k
$161k most similar roles pay here $255k

This listing doesn't post a salary. Most similar roles pay $170,000–$246,150.

Based on 240 similar postings.

Employer

About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 187 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.

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At a glance

TL;DR · Generative AI Engineer, Vice President

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Goldman Sachs is seeking a Generative AI Engineer to join its dynamic GenAI and DocAI team as a senior-level contributor. In this role, you will drive the adoption of advanced generative AI technologies within the firm by collaborating with colleagues to build an AI-enabled platform for document digitization and enhancing developer productivity through RAG pipelines and knowledge graphs. You will develop, test, and maintain high-quality code in a cloud-native environment while demonstrating technical leadership on cross-team projects. The ideal candidate has extensive experience in software development for quantitative investment workflows and proficiency in languages like Python, C++, or Java. This role involves addressing unique challenges in generative AI within the financial domain to empower Goldman Sachs’ business operations with cutting-edge solutions.

Skills

Python C++ Java Kubernetes Terraform AWS CI/CD PostgreSQL Maven Git Docker Prometheus Grafana

What you'll do

  • Develop and maintain high-quality, production-ready code for Generative AI systems.
  • Lead cross-team projects to demonstrate technical expertise in cloud-native environments.
  • Enhance developer productivity through the implementation of Retrieval-Augmented Generation (RAG) pipelines.
  • Evaluate and experiment with AI-based software systems to address financial domain challenges.
  • Contribute to building an AI-enabled platform for document digitization within the firm.

What we're looking for

  • Master's or Ph.D. in relevant technical field required.
  • At least 5 years of industry experience in quantitative investment workflows.
  • Extensive software development experience in equities, fixed income, or multi-asset strategies.
  • Proficiency in Python, C++, or Java for software development.
  • Experience with cloud-native deployment and maintenance of services.
  • Demonstrated ability to lead cross-team technical projects.

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