Solutions Architect

This is a once in a lifetime opportunity to join the world's fastest growing startup as well as the biggest unicorn by valuation. With ByteDance's vision to build global platforms of creation and interaction, BytePlus is devoted to developing innovative technologies and products for businesses to fuel their next wave of growth. It is the best time to join us and pave into the new era together! Scope of pre-sales activities: - Prepare product-market-fit for the local market using Byteplus' IaaS, PaaS, MaaS, and Video Cloud products. - Collaborate with the sales team to identify potential customers and assess the customers' potential. - Engage with customers to clearly define the product and solution value proposition within the customers' context. - Develop proposals for customers, including business needs, application solutions, technical architecture, and Bill of Materials (BOM). - Construct demos for customers' use cases, encompassing Public Cloud, AI Agent Platform, and Language/Content generation Model workflows. - Generate documentation for use cases, proposed solutions, product requirements, demos, and customer feedback. - Offer training and guidance to customers for solution deployment. Scope of forward deployed engineer: - Collaborate closely with key accounts in the capacity of an AI consultant to explore opportunities in AI transformation. - Develop a customer AI transformation roadmap, taking into account value proposition, solution feasibility, and integration with existing systems and processes. - Construct a demonstration for the proposed solution within the customer's business context and system environment. - Generate documentation for jointly-created solutions, value propositions, technical architecture, and customer feedback. - Ascertain common customer requirements or market needs and construct prototypes for industry solution portfolios.

Minimum Qualifications: - Possesses an engineering background, extensive experience in application development, and proficiency in utilizing AI coding tools. - Demonstrates in-depth knowledge and practical hands-on experience in using public cloud products and constructing cloud architectures (including compute, storage, network, Kubernetes, databases, and security). - Has practical hands-on experience in deploying landing zones and setting up CI/CD pipelines. - Is familiar with common large language models and content generation models, capable of comprehensively analyzing the advantages and disadvantages of these models and their typical use cases. - Has hands-on experience in building AI agents, covering prompt optimization, knowledge/memory base management, tool utilization, and observability. - Desirable: Experience in the evaluation engineering of large language and content generation models. - Desirable: A solid understanding of AI Cloud, including GPU, network, and training/inference/RL platforms.