AI Engineering, Vice President
Quick summary
- Work type
- On-site
- Location
- New York, NYNJToronto, Canada
- Salary
- $115,000–$180,000 / yr
- Posted
- 1 day ago
- Nearby
- 99+ roles within 25 mi
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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At a glance
TL;DR · AI Engineering, Vice President
As an AI Engineer at Goldman Sachs’s GenAI Platform team, you will design and deploy autonomous AI agents that can independently plan, use tools, and execute multi-step tasks such as automated research drafting and regulatory summarization. You will also architect and scale the firm's mission-critical GS AI Platform, ensuring it supports secure, high-performance financial workflows through serverless AWS architectures. Additionally, you will develop agentic communication protocols like MCP for tool discovery and A2A for multi-agent orchestration while leading cross-functional projects to integrate AI into quantitative investment processes. Essential skills include expertise in Python, C++, or Java, along with a strong background in computer science, machine learning, or related fields, and experience in cloud-native solutions to ensure systems are reliable, maintainable, and adhere to strict data privacy standards.
Skills
What you'll do
- Design and deploy autonomous AI agents capable of independent planning and multi-step task execution.
- Architect and scale the GS AI Platform to support high-performance financial workflows securely.
- Develop and integrate agentic communication standards for tool discovery, multi-agent orchestration, and generative user interfaces.
- Lead cross-functional projects to ensure reliable, maintainable, and secure integration of AI in quantitative investment workflows.
- Ensure all AI-based software systems comply with strict data privacy, ethics, and safety standards.
What we're looking for
- Master’s or Ph.D. in relevant technical field or equivalent industry experience.
- At least 5 years of professional experience in AI and cloud computing.
- Expertise in architecting scalable, cloud-native AWS solutions with serverless architectures.
- Proficiency in Python, C++, or Java for developing high-performance systems.
- Experience in token optimization, long-context reasoning, and RAG pipelines.