Solutions Engineer, Peak AI
UiPath- Full Time
- Junior (1 to 2 years)
Candidates should possess a strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals, experience developing with Python, Java, and/or other web development languages, and prior experience working in enterprise SaaS, cloud tech, finance, fintech, or similar industries in a technical capacity with end-customer engagement.
The Solutions Engineer will 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, 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, and drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.
AI platform for data and models
Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major tech companies like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.