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Frontier Agent Engineering Manager, Enterprise

Scale AI· Enterprise Engineering
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Hybrid (London, UK)Full-timePosted 5d ago

About the role

Forward Deployed AI Engineering Manager on the Scale AI Enterprise team, acting as a technical bridge between Scale AI’s capabilities and strategic customers. Lead a team to architect, deploy, and adopt AI solutions in production for enterprise clients, and collaborate with customer engineering teams to integrate AI into critical workflows.

Responsibilities

  • 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
  • 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
  • Implement evaluation frameworks to measure agent performance and iterate toward business objectives
  • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement
  • 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 model outputs
  • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate
  • 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 product and engineering teams to translate customer needs into product improvements
  • Document technical architectures, integration patterns, and best practices
  • 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 customer problems
  • Identify opportunities for productization based on common customer patterns

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, HuggingFace, OpenAI API)
  • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
  • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
  • Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Skills

Required:Software engineeringPythonCloud platformsAI frameworks
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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