Role overview

Scale AI is seeking a Frontier Agent Engineering Manager to lead enterprise AI deployments and serve as the technical bridge between the company’s AI capabilities and strategic customers. In this management role, you will lead a team that works directly with enterprise clients to architect, deploy, and optimize AI solutions integrated into their production environments and critical workflows.

Key responsibilities

Partner with enterprise customers to understand their technical infrastructure, data requirements, and business objectives, then design custom integrations between Scale AI’s platform and customer systems.
Build and deploy production-grade AI agents tailored to customer use cases, including multi-agent systems that orchestrate between different models, tools, and data sources.
Create sophisticated prompt engineering strategies optimized for customer domains, develop prompt libraries and templates, and conduct systematic experimentation to improve model performance.
Implement data connectors, ETL pipelines, and RAG systems to ingest, process, and prepare customer data for AI workflows within their security and compliance boundaries.
Lead a team collaborating with customer data scientists and engineers to ensure smooth integration and adoption of AI systems in production.
Debug complex technical issues across the stack, rapidly prototype solutions, and identify opportunities for productization based on common customer patterns.
Work with Scale AI’s product and engineering teams to translate customer needs into product improvements and document technical architectures and best practices.

Requirements

At least five years of software engineering experience with three or more years of management experience and strong fundamentals in data structures, algorithms, and system design.
Production-level Python expertise with hands-on experience using modern ML and AI frameworks such as LangChain, LlamaIndex, HuggingFace, or OpenAI API.
Experience with cloud platforms including AWS, GCP, or Azure, and knowledge of modern data infrastructure.
Strong problem-solving skills with the ability to navigate ambiguous requirements and iterate rapidly toward solutions.
Excellent communication abilities, capable of explaining complex technical concepts to both technical and non-technical audiences.

What makes this role worth considering

This position offers the opportunity to shape how leading enterprises deploy AI at scale while managing a team of engineers tackling real-world challenges across finance, healthcare, government, and manufacturing sectors. You’ll work on high-impact projects such as autonomous research agents, predictive systems, and intelligent voice solutions that deliver measurable business value to some of the world’s largest organizations.