About this role
About Scale AI
Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems.
Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale.
The Opportunity
The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments.
As a Senior Frontier Agent Engineer (Forward Deployed Engineering) , you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software.
Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI.
If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in.
What You'll Build
Enterprise AI Systems
• Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems.
• Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workflows.
• Build robust integrations that allow AI agents to safely interact with customer systems while meeting enterprise requirements for security, governance, and compliance.
• Rapidly prototype new AI capabilities and evolve successful prototypes into production-ready systems.
AI Platform Engineering
• Build the production infrastructure that enables frontier AI research to become reliable enterprise software.
• Develop agent runtimes, orchestration frameworks, context pipelines, execution services, and tool integrations that power production AI systems.
• Engineer systems for reliability, observability, latency, scalability, retries, fallback strategies, and graceful degradation.
• Design human-in-the-loop workflows that effectively combine AI automation with expert oversight.
• Build deployment patterns that allow AI systems to evolve safely through continuous delivery and experimentation.
Production AI Quality
• Operationalize modern AI quality syste