Head of AI Automation

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.

• →Strategic AI & Automation Leadership: Define and execute the enterprise AI and automation roadmap across customer service, billing, sales, technical support, and network operations.
• →Core Process Automation: Identify operational bottlenecks and deploy targeted AI/ML, GenAI, and RPA solutions across front-office and back-office functions.
• →Network & Operational Optimization: Oversee AI-driven initiatives for real-time network monitoring, predictive maintenance, automated fault detection, customer analytics, and intelligent workflow routing.
• →System & Infrastructure Integration: 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).
• →Team & Vendor Management: Direct cross-functional teams of AI/ML engineers, developers, and data scientists while managing technology vendor relationships, solution delivery, and SLAs.
• →Governance & Performance Tracking: Establish responsible AI governance, data privacy protocols, security frameworks, and ROI/KPI tracking mechanisms to demonstrate clear business impact.

• Education: Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field. Master’s degree or relevant certifications preferred.
• Experience: Minimum 8+ years of technical experience in AI, software engineering, digital transformation, or process automation, including 3–5 years in a managerial or leadership role.
• Domain Background: Prior leadership experience within an Internet Service Provider (ISP), Telecommunications enterprise, or major Tech infrastructure firm is strongly preferred.

• AI & Automation Stack: 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).
• Telecom Domain Knowledge: Direct experience automating enterprise telecom processes—specifically customer operations, dispatch systems, billing engines, and network management platforms (OSS/BSS).
• Leadership & Execution: Strong track record in vendor negotiation, agile project delivery, cross-departmental stakeholder management, and scalable system deployment.