VP, AI Solutions Engineer – London

Goldman Sachs; City Of London; On-site; GBP 180,000 - 230,000; Full time

Job summary

Goldman Sachs is hiring an AI Solutions Engineer (VP) in London to design and deliver cloud-native AI applications integrated with risk, compliance, and finance workflows. You will partner with Core Engineering and business teams to shape AI opportunities, prototype agentic solutions, and productionize secure, auditable systems.

The role demands 9+ years in software engineering, strong Python/Java/Go, and extensive cloud experience across AWS/Azure/GCP.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related quantitative field.
• 9+ years of hands-on software engineering experience building, deploying, and supporting production applications.
• Strong proficiency in Python, Java, or Go with sound software engineering practices.
• Experience translating complex business requirements into cloud-optimized architectures and scalable data models.

Responsibilities

• Lead design, build, deploy, and operationalize cloud-native AI applications with CI/CD and automated testing.
• Partner with business and engineering to identify high-impact AI opportunities and define scalable architectures.
• Embed with Core teams to map workflows, identify opportunities, and drive adoption through pilots and measurable outcomes.
• Integrate AI solutions into production with LLMs, retrieval, embeddings, vector search, and structured outputs.
• Apply cloud-native DevOps and MLOps practices to ensure scalable, resilient applications.

Skills

Python

Java

Go

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

AWS

Azure

GCP

Job description

Goldman Sachs is hiring an AI Solutions Engineer (VP) in London to design and deliver cloud-native AI applications integrated with risk, compliance, and finance workflows. You will partner with Core Engineering and business teams to shape AI opportunities, prototype agentic solutions, and productionize secure, auditable systems.

The role demands 9+ years in software engineering, strong Python/Java/Go, and extensive cloud experience across AWS/Azure/GCP.