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# Technical Solutions Engineer

- **Company:** RGH GROUP LLC
- **Location:** United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Cloud Services, Software Deployment, Enterprise Software Applications, Cloud Platform System, Large Language Models, Integration Frameworks, Claude, Google Gemini, Deepseek (AI Talent Sourcing Platform)
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25196_3ab60283794f1a9923e37c549dc163ac

## About the Role

* 1-2+ years in IT, cloud computing, enterprise technology, or related engineering fields
 * Strong understanding of:
 + Cloud infrastructure & architecture
 + AI/LLM platforms and integration workflows
 + Hands-on experience or familiarity with Gemini, Grok, DeepSeek, Claude, or similar cutting-edge AI systems
 * Demonstrated capability to troubleshoot technical issues and deliver hands-on support

Professional Skills

 * Experience in BD, Pre-Sales Engineering, Customer Success, or Solutions Architecture
 * Strong customer communication and ability to simplify complex technical concepts
 * Fast execution, proactive problem solving, and high ownership mindset
 * Comfortable collaborating with international teams across multiple time zones, * Industry certifications in cloud, AI, or architecture
 * Experience working with enterprise clients or large-scale deployments

## Description

The Technical Solutions Engineer will serve as the bridge between U.S. enterprise customers and global engineering/R&D teams, focusing on AI, LLM integration, cloud products, and technical customer success. This is a high-influence role designed for someone who thrives in both deep technical discussions and customer-facing engagement., * Build strong working relationships with customer engineering, data science, and AI teams

 * Deeply understand customer LLM use cases, architectures, and enterprise AI deployment needs
 * Translate customer requirements into clear, actionable technical specifications for global R&D and product teams
 * Deliver remote or on-site technical support for AI/LLM and cloud platform deployments
 * Support solution design, architecture planning, POCs, and early deployment troubleshooting
 * Collaborate across time zones with global engineering, product, and business teams