Enterprise AI Engineering Manager - Deployment & Leadership

Scale AI; San Francisco (CA); On-site; USD 227,000 - 325,000; Full time

Job summary

Scale AI in San Francisco seeks an Forward Deployed AI Engineering Manager for enterprise deployments. You will bridge scales AI capabilities with customer needs, lead a team of engineers, and ensure production-ready AI integrations.

You will partner with customer data scientists and software developers to design multi‑agent systems, optimize prompts, and deliver reliable AI solutions that improve workflows and business outcomes.

Qualifications

• 5+ years of software engineering experience with 3+ yrs of management experience.
• Production Python expertise with ML/AI frameworks (LangChain, LlamaIndex, HuggingFace, OpenAI).
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure.
• Strong problem-solving skills and ability to iterate solutions.
• Excellent communication skills for technical and non-technical audiences.

Responsibilities

• Partner with enterprise customers to understand technical infrastructure and data pipelines.
• Design and implement custom integrations between Scale AI's platform and customer environments.
• Build data connectors and ETL pipelines for AI workflows.
• Deploy and configure AI models and agents within customer security boundaries.
• Lead a team collaborating with customer data scientists and software developers.

Skills

Software engineering

Management

Python

ML frameworks

Tools

AWS

GCP

Azure

Docker

Kubernetes

Job description

Scale AI in San Francisco seeks an Forward Deployed AI Engineering Manager for enterprise deployments. You will bridge scales AI capabilities with customer needs, lead a team of engineers, and ensure production-ready AI integrations.

You will partner with customer data scientists and software developers to design multi‑agent systems, optimize prompts, and deliver reliable AI solutions that improve workflows and business outcomes.