Senior AI/ML Engineer, Global Banking & Markets, Front Office Technology

Goldman Sachs

Quick summary

Work type
On-site
Location
New York, NY
Salary
$150,000–$300,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $225k
$132k most similar roles pay here $318k

This role pays more than 60% of similar roles. Most pay $170,746–$246,150 — the shaded band above. At the midpoint, this role pays about $225k versus about $208k for comparable roles.

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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View all roles at Goldman Sachs

At a glance

TL;DR · Senior AI/ML Engineer, Global Banking & Markets, Front Office Technology

Role Posting Log in to save

As a Senior AI Engineering Expert at Goldman Sachs, you will join a dynamic team driving the integration of cutting-edge AI solutions into our Java/JVM-based ecosystem. Your role involves architecting and implementing production-grade AI workflows that automate collateral management and risk monitoring, ensuring seamless integration with existing microservices and legacy systems. You will optimize performance for large-scale deployments, establish robust evaluation frameworks, and collaborate across teams to define technical roadmaps. Key responsibilities include building scalable RAG pipelines using Java-based ETL processes, leveraging Spring Boot Actuator and Micrometer for observability, and implementing regulatory compliance measures such as Human-in-the-Loop patterns. Required skills encompass expert-level Java 21+, Spring Boot 3.x, JPA, Sybase, Maven/Gradle, SQL, and experience with AWS MSK and other messaging tools. This role demands deep expertise in AI frameworks, enterprise stack technologies, and a thorough understanding of the regulatory landscape in asset-based lending.

Skills

Java Spring Boot 3.x JPA Sybase Maven Gradle SQL Milvus Weaviate Pinecone Apache Kafka RabbitMQ AWS Spring Boot Actuator Micrometer Project Loom Virtual Threads AI frameworks CI/CD

What you'll do

  • Architect and implement end-to-end AI pipelines that integrate with existing Java-based microservices.
  • Optimize inference latency and manage token costs for large-scale AI deployments serving thousands of users.
  • Establish robust evaluation frameworks to measure model accuracy and ensure compliance with security standards.
  • Build Retrieval-Augmented Generation (RAG) systems using Java-based ETL pipelines for unstructured data ingestion.
  • Monitor LLM latency, token usage, and model drift within the standard enterprise monitoring stack.
  • Lead transition of batch-oriented processes to real-time event-driven AI architectures using AWS MSK.

What we're looking for

  • 6+ years of Java software engineering experience with at least 3 years focused on AI/ML integration in production.
  • Expert-level proficiency in Core Java (Java 21+) and hands-on experience with leading AI frameworks/tools.
  • Deep experience with Spring Boot 3.x, JPA, Sybase, Maven/Gradle, and cloud infrastructure deployment on AWS.
  • Proficiency in SQL and integration with enterprise vector stores via Java clients.
  • Experience with Apache Kafka or RabbitMQ for orchestrating asynchronous AI agent tasks.
  • Understanding of RIA workflows, collateral eligibility, and regulatory landscape of asset-based lending.

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