Senior Frontier Agent Engineering Manager (Enterprise)

Join Scale AI as a Senior Frontier Agent Engineering Manager, where you'll be the technical bridge between our cutting-edge AI capabilities and our most strategic enterprise customers. In this management role, you'll lead a team that architects specific AI solutions, ensures successful deployment and adoption of AI systems, and works directly with customer engineering teams to integrate AI into their critical workflows. You'll also partner with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, and design and implement custom integrations between Scale AI's platform and customer data environments.

• Establishing a technical bridge between Scale AI's AI capabilities and enterprise clients, leading a team to architect and deploy AI solutions.
• Collaborating with customer engineering teams to integrate AI into their workflows, designing and implementing custom integrations.
• Leading a team in the development of production-grade AI agents tailored to customer use cases, and architecting multi-agent systems.
• 5+ years of software engineering experience with 3+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design
• 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
• 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
• Domain expertise in verticals like finance, healthcare, government, or manufacturing
• Experience with technical enablement or teaching programs
• Previous work in a devops, platform, or infra role
• Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role
• Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)
• Contributions to open-source AI/ML projects
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
• Experience building and deploying AI agents or autonomous systems in production
• Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
• Knowledge of vector databases and semantic search systems