# Solutions Engineer, Enterprise

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** San Francisco, CA, New York, NY, Seattle, WA
**Role:** Sales Engineering
**Salary:** $179k – $224k/yr
**Skills:** Python, Java, Generative AI, LLMs, Machine Learning, SaaS, Cloud Computing
**Posted:** 2026-02-12

> Solutions Engineer partners with sales to deliver customized GenAI demos and pilots for enterprise customers, secures technical wins, scopes projects, and supports initial implementations. Requires strong engineering background in Python/Java and client-facing experience in SaaS/fintech.

## Job Description

## Responsibilities
- Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements.
- Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises.
- Be accountable for securing the “technical win” by unblocking technical challenges.
- Interact with customers daily to understand their needs and design solutions to better serve them.
- Design and develop “Scopes of Work” by breaking down customer challenges into a project plan.
- Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage.
- Work with AEs and PMs to identify customer-specific feature requests.
- Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

## Requirements
- Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals.
- Prior experience developing with **Python**, **Java** and/or other web development languages.
- Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement.
- A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer.
- Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers.
- High level of comfort communicating effectively across internal and external organizations.
- Intellectual curiosity, empathy, and ability to operate with high velocity.

## Nice to Haves
- GenAI Experience
- Forward deployed engineering experience
- Machine Learning Experience

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