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Solution Architect

Role overview

Qualifications

  • 1–2+ years in IT, cloud computing, enterprise technology, or related engineering fields
  • Strong understanding of cloud infrastructure architecture and AI/LLM platforms and integration workflows
  • Hands-on experience or familiarity with Gemini, Grok, DeepSeek, Claude, or similar cutting‑edge AI systems
  • Experience in BD, Pre-Sales Engineering, Customer Success, or Solutions Architecture with strong customer communication and ability to simplify complex technical concepts

Responsibilities

  • 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 RD and product teams
  • Deliver remote or on‑site technical support for AI/LLM and cloud platform deployments

About the company

RGH-Global | People Services logo

RGH-Global | People Services

Staffing & Recruiting

RGH Global is a recruitment and people engagement service. Our mission is to challenge the traditional recruitment industry and provide value to our clients.

Company details

Company typeScaleup
IndustryStaffing & Recruiting
Company size51 - 200

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Job description

Technical Solutions Engineer (AI / Cloud) – California (U.S. Preferred)

Compensation: US$215,692 – US$287,590

Full‑Time or Priority Part‑Time

Join a rapidly expanding global technology innovator leading the way in cloud computing, artificial intelligence, and enterprise‑scale LLM (Large Language Model) solutions. This role offers a rare opportunity to work directly with next‑generation AI platforms, collaborate with elite engineering teams worldwide, and shape cutting‑edge deployments across the U.S. market.

Employer Overview

Our employer is a top‑tier global technology powerhouse known for its work across cloud architecture, data analytics, AI/LLM solutions, and advanced enterprise software development. With a history of delivering transformative digital solutions, the organization is trusted by major global enterprises and continues to expand aggressively into North America.

The company is recognized for:

  • Leading innovation in cloud and AI engineering
  • A strong, diverse global workforce
  • Partnerships in key international tech markets
  • A rich portfolio of successful, high‑impact enterprise projects
  • A culture that rewards creativity, technical excellence, and customer obsession

This is an ideal environment for ambitious engineers seeking to work on true frontier technology with international visibility.

Role Overview

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.

Key Responsibilities

  • 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

Requirements

Location

  • Based in California, United States (U.S. West Coast ideal for global time‑zone alignment)

Technical Expertise

  • 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

Work Format

  • Part‑time candidates are welcome, provided the role is treated as a top business priority

Preferred Extras

  • Industry certifications in cloud, AI, or architecture
  • Experience working with enterprise clients or large‑scale deployments

Why Top Candidates Choose This Role

High compensation for a role working on next‑generation AI deployments
Global visibility with direct access to international R&D leadership
Career‑defining opportunity to work with leading LLM technologies
Customer‑facing influence in shaping AI solutions for U.S. enterprises
Growth‑driven environment with strong investment in North America
True innovation culture where your technical insights matter

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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