Enterprise AI Engineering Manager - Deploy & Integrate AI Solutions

Scaleai; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Scale AI seeks a Forward Deployed AI Engineering Manager for its Enterprise team in New York. You will bridge Scale AI's cutting-edge AI capabilities with strategic customers, leading a team that designs AI solutions and ensures deployment and adoption in production environments.

You will work directly with customer engineering teams to integrate AI into critical workflows, manage a team of engineers and data scientists, and collaborate with product/engineering to translate customer needs into

Qualifications

• 5+ years of software engineering experience with 3+ years in management.
• Production Python expertise with ML/AI frameworks (LangChain, LlamaIndex, HuggingFace, OpenAI API).
• Experience with cloud platforms (AWS, GCP, Azure) and modern data infrastructure.
• Strong problem-solving skills and ability to navigate ambiguous requirements.
• Excellent communication skills, able to explain complex concepts to technical and non-technical audiences.

Responsibilities

• Partner with enterprise customers to understand technical infrastructure and business requirements.
• Design and implement custom integrations between Scale AI's platform and customer environments.
• Build data connectors and ETL pipelines for AI workflows.

Skills

Software engineering

Management experience

Production Python

ML frameworks

Cloud platforms

Communication

Tools

Python

LangChain

LlamaIndex

HuggingFace

OpenAI API

Docker

Kubernetes

Terraform

Job description

Scale AI seeks a Forward Deployed AI Engineering Manager for its Enterprise team in New York. You will bridge Scale AI's cutting-edge AI capabilities with strategic customers, leading a team that designs AI solutions and ensures deployment and adoption in production environments.

You will work directly with customer engineering teams to integrate AI into critical workflows, manage a team of engineers and data scientists, and collaborate with product/engineering to translate customer needs into