Remote AI Transformation Architect for Internal Systems

GigaKOM

United States

Remote

USD 90,000 - 150,000

Full time

14 days+
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Job summary

GigaKOM is seeking an experienced AI Transformation Consultant to re-architect internal systems, drive automation, and deliver measurable efficiency gains across CRM, ERP, and reporting platforms. This remote, contract role emphasizes execution and governance, with a focus on scalable AI solutions and practical roadmaps.

You will assess opportunities, design AI copilots and workflows, deploy LLM-based tools, and train stakeholders.

Qualifications

  • 5+ years working in AI, automation, or digital transformation.
  • Experience retooling internal enterprise systems.
  • Strong knowledge of CRM, ERP, workflow automation, and system integration.
  • Experience deploying LLM-based tools and AI-powered automation.
  • Understanding of data security, governance, and compliance best practices.
  • Ability to translate business needs into technical AI solutions.

Responsibilities

  • Assess internal systems and identify high-ROI AI and automation use cases.
  • Develop an AI modernization roadmap and governance framework.
  • Retool and optimize CRM, ERP, ticketing, reporting, and operations platforms.
  • Deploy AI copilots, automation agents, and intelligent workflows.
  • Build dashboards and AI-powered reporting tools with secure integration.
  • Train stakeholders and provide documentation and best practices.

Skills

AI & automation
Digital transformation
CRM integration
ERP integration
LLM deployment
Data security

Tools

OpenAI
Azure AI
AWS AI services
Retool
UiPath
Power Automate
Zapier

Job description

GigaKOM is seeking an experienced AI Transformation Consultant to re-architect internal systems, drive automation, and deliver measurable efficiency gains across CRM, ERP, and reporting platforms. This remote, contract role emphasizes execution and governance, with a focus on scalable AI solutions and practical roadmaps.

You will assess opportunities, design AI copilots and workflows, deploy LLM-based tools, and train stakeholders.

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