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Senior Forward Deployed AI Engineer - Enterprise

Scale AISan Francisco, CA; New York, NY
On-site Full-time $179.4K/yr - $224.3K/yr

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Experience Level

Senior

Qualifications

Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience in AI, machine learning, or data engineering. Strong proficiency in programming languages such as Python or Java. Experience with cloud platforms (AWS, GCP, Azure) and data management tools. Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Ability to work collaboratively in a fast-paced, dynamic environment.

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.

About Scale AI

Scale AI is at the forefront of providing the essential data infrastructure for AI, equipping organizations with the tools necessary to create and deploy reliable AI solutions. Through our innovative platform, we support enterprises and government bodies in realizing their AI ambitions.

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