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AI Transformation Lead

Job in Lubbock, Lubbock County, Texas, 79401, USA
Listing for: GoMining
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

GoMining is looking for an AI Transformation Lead who will drive the development and implementation of AI across the company.

This role is for a strong leader with a technical background who can analyze business processes, identify opportunities for improvement, build an AI transformation strategy, and drive real change across the organization.

You will work directly with founders and department heads, helping the company become faster, more efficient, and more technology-driven.

About the Role

As an AI Transformation Lead, you will be responsible for analyzing company processes, identifying automation opportunities, launching internal AI solutions, and building an AI-driven culture across the company.

It is important not only to identify opportunities, but also to bring initiatives to life — from idea and architecture to implementation and scaling.

Responsibilities
  • Analyze business processes and identify where AI and automation can create the greatest impact.
  • Build and develop the company’s AI transformation strategy.
  • Prioritize initiatives based on business impact, implementation speed, and ROI.
  • Launch and scale internal AI solutions for HR, marketing, customer support, analytics, operations, and product teams.
  • Participate in the creation of AI assistants, knowledge bots, copilots, reporting tools, and other internal systems.
  • Coordinate internal teams and external vendors.
  • Establish processes, best practices, and standards for using AI across the company.
  • Train teams and help increase adoption of AI tools.
  • Define KPIs and measure the effectiveness of implemented solutions.
  • Regularly prepare recommendations for leadership on new AI and automation opportunities.
Qualifications
  • 4+ years of experience in one of the following roles:
    Solutions Architect, Enterprise Architect, Technical Program Manager, Head of Automation, Product Operations Lead, Digital Transformation Manager, Technology Consultant, VP Engineering, or a similar role.
  • Proven experience leading teams and cross-functional projects is required.
  • Proven experience creating and implementing AI systems, internal assistants, knowledge bots, copilots, workflow automation tools, or other internal platforms is required.
  • Experience launching and scaling transformation initiatives across a company.
  • Strong understanding of AI architecture, integrations, APIs, and data flows.
  • Experience with LLMs, AI tools, prompt engineering, RAG, AI agents, or similar technologies.
  • Strong analytical and systems thinking skills.
  • Ability to work effectively with both business and technical teams.
  • English level B2/C1.

Technology Stack

  • Experience with one of the following languages:
    Python, Type Script, or Golang.
  • Understanding of APIs, integrations, and data flows.
  • Experience with LLM and AI tools such as OpenAI, Anthropic, Lang Chain / Lang Graph, n8n, or similar solutions.
  • Experience building AI assistants, knowledge bots, copilots, workflow automation tools, or multi-agent systems.
  • Understanding of RAG, vector databases, and search across internal data.
  • Experience with SQL / No

    SQL databases.
Nice to Have
  • Experience in fintech, crypto, Web3, or fast-growing tech companies.
Professional Growth & Benefits
  • Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
  • Work-life fit: remote or hybrid format with flexible hours across international teams.
  • Paid leave: up to 28 vacation days + 8 company holidays + 5 personal days per year
  • Recognition programs: structured performance reviews and team awards.
  • Team culture: retreats in international locations (for example, company apartments in Cyprus).
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