Goldman Sachs is seeking an AI Engineer to join our dynamic GenAI Platform team. You will play a pivotal role in driving the next generation of AI adoption, moving from passive assistance to agentic automation. We are looking for engineers who can navigate modern AI by focusing on token optimization, long-context reasoning, and high-performance RAG pipelines. You will interact directly with business units to transform proprietary datasets into actionable intelligence through the GS AI Assistant and specialized autonomous agents.

Agentic System Development: Design and deploy autonomous AI agents capable of independent planning, tool use, and multi-step task execution (e.g., automated research drafting, code migration, and regulatory summarization).

Platform Engineering: Architect and scale the GS AI Platform, the firm’s mission-critical "AI Platform" that provides a secure, multi-model backbone for autonomous agents and high-performance financial workflows.

Protocol Implementation: Develop and integrate the latest agentic communication standards, including MCP (Model Context Protocol) for tool discovery, A2A (Agent-to-Agent) for multi-agent orchestration, and AGUI/A2UI for generative user interfaces.

Technical Leadership: Lead cross-functional projects to integrate AI into quantitative investment workflows, ensuring systems are reliable, maintainable, and secure.

AI Governance: Ensure all AI-based software systems adhere to the firm’s strict data privacy, ethics, and safety standards.