VP of AI-Driven Software Engineering

Goldman Sachs

New York (NY)

On-site

USD 150,000 - 300,000

Full time

14 days+
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Job summary

Goldman Sachs is seeking a Senior Software Engineer for AI/ML Technology in New York, NY. You will design and build low-latency, cloud-native services, integrating AI-driven development across the SDLC to modernize trading platforms.

You will lead multi-region architectures, govern AI agents, and collaborate with Global Banking & Markets teams to deliver scalable, production-grade software for P&L and trading lifecycle management.

Qualifications

  • 8+ years of professional software development experience in Java (Java 17+).
  • Experience with AI-assisted engineering tools and governance of AI agents.
  • Experience building event-driven and distributed systems with messaging platforms (Kafka).
  • Strong SDLC practices: version control, CI/CD, automated build/test/deploy.
  • Solid testing discipline: unit, integration, and acceptance testing.
  • Ability to navigate large unfamiliar codebases with/without AI assistance.
  • Excellent communication and collaboration across distributed teams.

Responsibilities

  • Design, build, and operate high-availability, multi-region cloud-native services with security and observability.
  • Develop event-driven architectures and optimized data paths for trade lifecycle management.
  • Partner with engineers and stakeholders to model and digitize business processes.
  • Manage full lifecycle of software components from requirements to release.
  • Innovate AI-centric solutions and reusable capabilities across GB&M.
  • Multiply impact with AI coding agents to accelerate delivery.

Skills

Java
AI-assisted engineering tools
Event-driven systems
SDLC practices
Testing discipline
Large legacy codebases navigation
Communication & collaboration

Tools

Kafka
Spring Boot
gRPC/Protobuf
Kubernetes
Docker
Java 17+

Job description

Goldman Sachs is seeking a Senior Software Engineer for AI/ML Technology in New York, NY. You will design and build low-latency, cloud-native services, integrating AI-driven development across the SDLC to modernize trading platforms.

You will lead multi-region architectures, govern AI agents, and collaborate with Global Banking & Markets teams to deliver scalable, production-grade software for P&L and trading lifecycle management.

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