Staff Forward Deployed AI Engineer, Enterprise
Scale AI · San Francisco, CA | New York City, NY · Enterprise Engineering
About this role
Scale AI is hiring a staff-level Field Engineer in the software engineering function based in San Francisco, CA | New York City, NY. The posting calls out experience with Python, AWS, GCP, Azure. Compensation is listed at $252,000–$315,000 per year.
- Role
- Field Engineer
- Function
- software engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- San Francisco, CA | New York City, NY
- Department
- Enterprise Engineering
More roles at Scale AI
Job description
from Scale AI careersAbout 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, generative AI solutions, and enterprise AI capabilities.
Role Overview
As a Staff Forward Deployed AI Engineer 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, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.
This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.
Key Responsibilities
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 warehouses, internal APIs)
- Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
- Deploy and configure AI models and agents within customer security and compliance boundaries