VP of AI-Driven Engineering & Data Solutions

Goldman Sachs; Dallas (WV); On-site; USD 140,000 - 210,000; Full time

Job summary

Goldman Sachs is seeking a senior software engineer to design end-to-end solutions across divisions. You will partner with sponsors, users, and engineers, leveraging Java, Python, and AI-assisted tools to boost productivity and delivery speed.

The role emphasizes automated testing, SDLC proficiency, and clear communication in meetings and documentation, as you contribute to a broad range of data-centric problems and production-grade software.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a similar field.
• 5+ years professional software development experience.
• Expertise in Java and/or Python development.
• Experience in automated testing and SDLC concepts.
• The ability to clearly express ideas and arguments in meetings and on paper.

Responsibilities

• Partner globally with sponsors, users and engineering colleagues across multiple divisions to create end-to-end solutions.
• Learn from experts and leverage various technologies including Java, Python, SQL, and AI tools.
• Apply analytical and functional skills to design surveillance processes to identify risks.
• Possess initiative to innovate and incubate new ideas and tackle broad data-centric problems.
• Be involved in the full software life cycle: defining, designing, implementing, testing, deploying, and maintaining products.

Skills

Java

Python

Automated testing

SDLC concepts

Communication

Education

Bachelor's or Master's in CS/CE

Tools

GitHub Copilot

Claude Code

Devin

Job description

Goldman Sachs is seeking a senior software engineer to design end-to-end solutions across divisions. You will partner with sponsors, users, and engineers, leveraging Java, Python, and AI-assisted tools to boost productivity and delivery speed.

The role emphasizes automated testing, SDLC proficiency, and clear communication in meetings and documentation, as you contribute to a broad range of data-centric problems and production-grade software.