Frontier Agent Engineering Manager, Enterprise
Scale AI · Enterprise Engineering
- Location
- San Francisco, CA; New York, NY
- Metro
- San Francisco Bay Area, New York City
- Workplace
- Unspecified
- Level
- Senior
- Type
- Unspecified
- Pay
- $252K–$315K/yr (estimated from posting text)
- Posted
- 9 months ago
- Source
- Greenhouse
Read the full posting & apply ↗
PythonAWSGCPAzureKubernetesDockerTerraformLLMs
What the posting covers
About Scale AI
Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform,…
Role Overview
As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges,…
Customer Integration & Deployment
Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data…
AI Agent Development
Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources…
Prompt Engineering & Optimization
Create sophisticated prompt engineering strategies optimized for customer-specific domains and data Build and maintain prompt libraries, templates, and best practices for customer use cases Conduct systematic prompt experimentation and A/B testing to improve…
Leadership & Collaboration
Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration Work closely with Scale's…
Problem Solving & Innovation
Debug complex technical issues across the entire stack, from data pipelines to model outputs Rapidly prototype solutions to unblock customers and prove out new use cases Stay current on the latest AI/ML research and tools, bringing innovative approaches to…
Required Qualifications
5+ years of software engineering experience with 3+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex,…
Preferred Qualifications
Agent Development Wiz Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures Experience building and deploying AI agents or autonomous systems in production Knowledge of vector databases and semantic search systems…
Sample Projects
The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.
Deep Research for Due Diligence
For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex,…
Churn Prediction
Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center…
Data Extraction Voice Agent
We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails,…
About Us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy,…
Excerpts only. The employer’s page has the complete posting.