About the job
About Scale AI
Scale AI serves as the foundational platform for data in artificial intelligence, empowering organizations to design and deploy dependable AI applications in production. Our collaborations with top-tier enterprises and government agencies accelerate their AI endeavors through our comprehensive data annotation platform, innovative generative AI solutions, and robust enterprise AI capabilities.
Role Overview
As a Senior Forward Deployed AI Engineer on our Enterprise team, you will act as the crucial technical link between Scale AI's advanced AI technologies and our key clients. You will engage with enterprise customers to grasp their specific challenges, architect tailored AI solutions, and facilitate the successful implementation and adoption of AI systems within production settings.
This hands-on technical position merges profound engineering skills with customer-oriented problem-solving. You will collaborate directly with client engineering teams to seamlessly integrate AI into their pivotal workflows.
Key Responsibilities
Customer Integration & Deployment
- Engage directly with enterprise clients to assess their technical infrastructures, data pipelines, and business needs.
- Design and execute custom integrations between Scale AI's platform and clients' data environments, including cloud platforms, data warehouses, and internal APIs.
- Develop resilient data connectors and ETL pipelines to acquire, process, and prepare client data for AI applications.
- Deploy and configure AI models and agents in alignment with client security and compliance requirements.
AI Agent Development
- Create production-ready AI agents tailored to specific client use cases across various sectors, including customer support, data analytics, content generation, and workflow automation.
- Design multi-agent systems that coordinate between diverse models, tools, and data sources.
- Establish evaluation frameworks to assess agent performance and refine them in pursuit of business objectives.
- Develop human-in-the-loop processes and feedback systems for ongoing agent enhancement.
Prompt Engineering & Optimization
- Develop sophisticated prompt engineering methodologies optimized for client-specific domains and data.
- Create and maintain prompt libraries, templates, and best practices for client scenarios.
- Conduct systematic prompt experiments and A/B testing to enhance model outputs.
- Implement RAG (Retrieval Augmented Generation) systems and fine-tuning protocols to improve performance.

