Frontier Agent Engineering Manager (Enterprise)

Scale AI as a Frontier Agent Engineering Manager (Enterprise). In this management role, you will be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You will 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. Your responsibilities will include designing and implementing custom integrations, deploying and configuring AI models, developing production-grade AI agents, and serving as the technical point of contact for strategic enterprise accounts.

Establishing a technical bridge between Scale AI's AI capabilities and enterprise clients, leading a team to architect and deploy AI solutions.

Responsibilities

• 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.

Requirements

• 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)
• 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
• Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
• Experience building and deploying AI agents or autonomous systems in production
• Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures

Preferred

• Domain expertise in verticals like finance, healthcare, government, or manufacturing

Experience with technical enablement or teaching programs

• 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
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
• Contributions to open-source AI/ML projects
• Knowledge of vector databases and semantic search systems

USD 227,000 - 325,000