Frontier Agent Engineering Manager, Enterprise

Overview

As Forward Deployed AI Engineering Manager, you bridge Scale AI’s capabilities with strategic enterprise customers. You lead a team to architect and deploy AI solutions that integrate with customers’ systems, ensuring production-ready performance and adoption. You’ll work hands-on with customer teams to tailor integrations, build robust data pipelines, and advance multi-agent AI solutions in mission-critical environments. This role blends management with deep AI engineering to drive impactful, scalable outcomes.

Responsibilities

• Partner with enterprise customers to understand their infrastructure, data pipelines, and business requirements
• Design and implement custom integrations between Scale AI platform and customer environments (cloud, data warehouses, internal APIs)
• Build data connectors and ETL pipelines to prepare data for AI workflows
• Deploy and configure AI models and agents within customer security and compliance boundaries
• Develop production-grade AI agents across domains (customer support, data analysis, content generation, workflow automation)
• Architect multi-agent systems coordinating models, tools, and data sources
• Implement evaluation frameworks to measure agent performance and iterate on business objectives
• Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement
• Create prompt engineering strategies for customer domains; maintain prompt libraries and templates
• Conduct prompt experimentation and A/B testing; implement RAG systems and fine-tuning pipelines
• Lead as Engineering Manager and technical point of contact for strategic enterprise accounts
• Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration
• Document architectures, integration patterns, and best practices
• Debug complex issues across data pipelines to model outputs; rapidly prototype solutions when needed
• Stay current on AI/ML research and tools; identify opportunities for productization

Key requirements

• 5+ years of software engineering experience
• 3+ years of management experience
• Production Python expertise with modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
• Strong problem-solving skills and ability to handle ambiguous requirements
• Excellent communication skills for technical and non-technical audiences

• strong communication and collaboration
• leadership and people management
• customer-centric mindset
• Python production expertise
• LangChain, LlamaIndex, HuggingFace, OpenAI API
• Cloud platforms: AWS, GCP, Azure

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