Dallas-based VP, Core Engineering — AI & Data Platforms

Goldman Sachs; Dallas (TX); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Healthcare & Medical Insurance

Benefits at Goldman Sachs

On-site health centers

Family care benefits

Job summary

Goldman Sachs Bank AG in Dallas seeks a Vice President for Core Engineering, Surveillance & Models-Software Engineering to lead scalable software across risk, controls, and compliance. You will work with global sponsors and teams to design, implement, and productionize AI-assisted tooling and data platforms, using Java, Python, Spark, and Kubernetes.

The role emphasizes cloud platforms, AI-driven development, and a rigorous SDLC, with responsibility for end-to-end delivery, code quality, and

Qualifications

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

Responsibilities

• Partner globally with sponsors and engineering colleagues to create end-to-end solutions.
• Learn from experts and leverage varied technologies across teams.
• Apply analytical and functional skills to design surveillance processes to identify risks.
• Innovate and incubate new ideas; work on large data sets and real-time processing.
• Involved in full life cycle: design, implement, test, deploy, and maintain software.
• Use AI-assisted tools to improve productivity and reduce cycle time.

Skills

Java

Python

SDLC concepts

Automated testing

Clear communication

AI tooling

Code review

API design

Micro-services

Stakeholder collaboration

Education

Bachelor's or Master's degree in Computer Science/Engineering

Tools

GitHub Copilot

Claude Code

Devin

Job description

Goldman Sachs Bank AG in Dallas seeks a Vice President for Core Engineering, Surveillance & Models-Software Engineering to lead scalable software across risk, controls, and compliance. You will work with global sponsors and teams to design, implement, and productionize AI-assisted tooling and data platforms, using Java, Python, Spark, and Kubernetes.

The role emphasizes cloud platforms, AI-driven development, and a rigorous SDLC, with responsibility for end-to-end delivery, code quality, and