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Head of AI Automation

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About the role

The Head of AI Automation will drive the end-to-end strategy, development, and execution of AI-driven automation and intelligent systems within a leading fiber broadband and telecommunications company. This role is responsible for modernizing business and network operations through Machine Learning (ML), Generative AI / LLMs, and Robotic Process Automation (RPA) to maximize operational efficiency, elevate customer experience, and reduce cost-to-serve.

Key responsibilities

  • Define and execute the enterprise AI and automation roadmap across customer service, billing, sales, technical support, and network operations

  • Identify operational bottlenecks and deploy targeted AI/ML, GenAI, and RPA solutions across front-office and back-office functions

  • Oversee AI-driven initiatives for real-time network monitoring, predictive maintenance, automated fault detection, customer analytics, and intelligent workflow routing

  • Lead the seamless integration of automation platforms, LLM frameworks, and custom AI models into existing telecommunications platforms (CRM, ERP, Billing/BSS, OSS, and core network architecture)

  • Direct cross-functional teams of AI/ML engineers, developers, and data scientists while managing technology vendor relationships, solution delivery, and SLAs

  • Establish responsible AI governance, data privacy protocols, security frameworks, and ROI/KPI tracking mechanisms to demonstrate clear business impact

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field

  • Minimum 8+ years of technical experience in AI, software engineering, digital transformation, or process automation

  • 3–5 years in a managerial or leadership role

  • Prior leadership experience within an Internet Service Provider (ISP), Telecommunications enterprise, or major Tech infrastructure firm is strongly preferred

  • Expert knowledge of AI/ML algorithms, Generative AI, Large Language Models (LLMs), APIs, microservices, and RPA platforms (e.g., UiPath, Automation Anywhere, Microsoft Power Automate)

  • Direct experience automating enterprise telecom processes—specifically customer operations, dispatch systems, billing engines, and network management platforms (OSS/BSS)

  • Strong track record in vendor negotiation, agile project delivery, cross-departmental stakeholder management, and scalable system deployment


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