Frontier Agent Engineering Manager, Enterprise (AI)

Location: London, UK

Company

Scale AI provides data infrastructure, generative AI solutions, and enterprise AI capabilities for building and deploying reliable production AI applications.

What you will do

• Lead a team delivering custom AI integrations and production deployments for strategic enterprise customers.
• Design integrations with cloud platforms, data warehouses, internal APIs, and customer data environments.
• Build data connectors, ETL pipelines, AI agents, multi-agent systems, evaluation frameworks, and human-in-the-loop workflows.
• Develop prompt strategies, prompt libraries, A/B tests, RAG systems, and fine-tuning pipelines for customer-specific use cases.
• Collaborate with customer data scientists, ML engineers, software developers, and internal product and engineering teams.
• Debug complex issues across data pipelines, infrastructure, and model outputs while identifying opportunities for productization.

Requirements

• 5+ years of software engineering experience and 3+ years of management experience.
• Production Python expertise and experience with modern ML/AI frameworks such as LangChain, LlamaIndex, HuggingFace, or the OpenAI API.
• Experience with AWS, GCP, or Azure and modern data infrastructure.
• Strong foundations in data structures, algorithms, and system design.
• Ability to navigate ambiguous requirements, iterate rapidly, and explain complex technical concepts to technical and non-technical audiences.

Nice to have

• Experience building production AI agents or autonomous systems, with deep knowledge of LLMs, embeddings, RAG, vector databases, and semantic search.
• Experience with Docker, Kubernetes, CI/CD, Terraform, Bicep, or other infrastructure-as-code tools.
• Familiarity with enterprise security, compliance, and governance requirements including SOC 2, GDPR, or HIPAA.
• Technical consulting, solutions engineering, product engineering, enablement, or teaching experience.
• Domain expertise in finance, healthcare, government, or manufacturing, or contributions to open-source AI/ML projects.

Culture & Benefits

• Work on AI applications for enterprise and government organizations across customer support, data analysis, content generation, workflow automation, and research.
• Customer projects are deployed within existing customer systems and infrastructure.
• Inclusive and equal opportunity workplace with reasonable accommodations available during the application process.
• Candidates may be reconsidered for the same role after a 90-day waiting period.