Leads customer implementations of LLM and generative-AI systems from architecture through production, building full-stack solutions and improving model quality.
About this role
This cloud engineering role sits within the enterprise business’s solution engineering organization and supports customer growth through technical assistance. The position focuses on advancing IaaS, PaaS, and DaaS services and helping enterprise customers adopt major cloud platforms.
The work covers proposals, requirements definition, architecture, implementation, and project management. Named platforms and services include Azure, Azure Virtual Desktop, Azure OpenAI Service, AWS, Amazon WorkSpaces, GCP, IBM Cloud, Alibaba Cloud, and the company’s own cloud platforms. The role also involves customer and vendor-facing presales, documentation, troubleshooting, and coordinating multiple projects.
Applicants must have at least five years of business-to-business experience and experience in at least one relevant technical area, such as virtual desktop or server virtualization, IaaS/PaaS, OpenAI or Azure OpenAI, Microsoft Entra ID, server operating systems, or shell operations. Required core capabilities include proposals or presales, documentation, logical thinking, troubleshooting, and project management skills equivalent to PMP-level ability.
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