Frontier Agent Engineering Manager (Enterprise)

Join Scale AI as a Frontier Agent Engineering Manager (Enterprise). In this management role, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work directly with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This position requires deep engineering and AI expertise, as well as excellent communication skills and experience with cloud platforms and modern data infrastructure.

• Establishing a technical bridge between Scale AI's capabilities and enterprise clients, leading a team to architect and deploy AI solutions.
• Collaborating with enterprise customers to understand their technical infrastructure, designing and implementing custom integrations.
• Leading a team in the development and deployment of production-grade AI agents tailored to customer use cases across various domains.

• 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
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
• 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)
• Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
• Experience building and deploying AI agents or autonomous systems in production
• Contributions to open-source AI/ML projects
• Knowledge of vector databases and semantic search systems
• Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)
• 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
• Domain expertise in verticals like finance, healthcare, government, or manufacturing
• Experience with technical enablement or teaching programs