Field Engineer: Federal AI Data Pipelines (TS/SCI)

Scale AI, Inc.; Honolulu (HI); On-site; USD 181,000 - 227,000; Full time

Benefits offered by this job

Health, dental and vision benefits

Learning & development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI, Inc. is seeking a Field Engineer to work with our federal AI projects and key public sector customers.

You will help build production-grade data pipelines, collaborating with Product, Engineering and Operations to learn use cases and create tools and documentation for long-term success. The ideal candidate is a generalist software engineer who thrives with client interaction, turning ambiguous problems into practical solutions, and partnering across teams throughout delivery.

Qualifications

• Experience as a customer-facing engineer or in a similar hybrid role.
• Hands-on technical experience working with clients in a pre- or post-sales capacity.
• Development experience with Python, JavaScript, or other modern languages.
• A strong engineering background, ideally in computer science, mathematics, or another quantitative field.

Responsibilities

• Build end-to-end data integrations that sync customer data to and from Scale's platform.
• Work with customers' engineering teams to optimize data pipelines, including API endpoint design and input/output schemas.
• Design and maintain playbooks, internal tools, documentation, and SDKs that set customers up for long-term success.
• Partner with engineers and Operations to resolve technical blockers, debug delivery issues, and own escalations.
• Own the customer's technical experience throughout their time with Scale.
• Identify customer-specific feature requests with Account Executives and Product Managers.

Skills

Customer-facing engineering

Python

JavaScript

CS/Math background

Tools

Kubernetes

Helm charts

Ansible

Job description

Scale AI, Inc. is seeking a Field Engineer to work with our federal AI projects and key public sector customers.

You will help build production-grade data pipelines, collaborating with Product, Engineering and Operations to learn use cases and create tools and documentation for long-term success. The ideal candidate is a generalist software engineer who thrives with client interaction, turning ambiguous problems into practical solutions, and partnering across teams throughout delivery.