Head of AI – Platforms

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Zayo Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

📡 Telecommunications

🏢 Enterprise

☁️ SaaS

💰 $92.9M Grant on 2023-06

Telecommunications • Enterprise • SaaS

Zayo Group is a leading global provider of communication infrastructure services, offering a wide range of products and services including fiber & transport, network connectivity, mobile infrastructure, private networks, and various managed services like SD-WAN and security solutions. Zayo's extensive network spans over 145,000 route miles of fiber and connects over 1,500 data centers worldwide. Its services cater to various industries including education, finance, healthcare, retail, media & entertainment, and more, helping businesses achieve scalable and secure connectivity solutions. With a focus on innovation and customer success, Zayo continuously invests in network expansion and service delivery excellence.

📋 Description

• Develop and execute a comprehensive AI platform roadmap aligned with Zayo’s business objectives • Lead the research, evaluation, and implementation of large-scale AI models, including LLMs, transformer-based models, computer vision, and multimodal AI • Design and deploy AI solutions for predictive analytics, intelligent automation, operational optimization, and real-time decision-making • Oversee the end-to-end AI lifecycle, including data engineering, model development, testing, deployment, monitoring, and continuous improvement • Build and optimize scalable AI infrastructure using cloud platforms such as AWS, Azure, or Google Cloud, along with GPU and TPU-based distributed training environments • Implement modern MLOps frameworks to support efficient model deployment, governance, observability, reliability, and performance monitoring • Build, mentor, and lead a high-performing team of AI researchers, machine learning engineers, data engineers, and AI platform specialists • Partner with engineering, network operations, product, data, security, compliance, and business teams to identify high-value AI use cases and ensure business alignment • Establish responsible AI practices that address bias, fairness, transparency, model risk, security, and regulatory compliance • Drive measurable business outcomes through AI-enabled improvements in efficiency, service reliability, customer experience, and operational decision-making.

🎯 Requirements

• 10+ years of experience in AI, machine learning, data science, or advanced analytics • 5+ years of experience leading AI, machine learning, data science, or engineering teams • Expertise in transformer-based models such as GPT, BERT, T5, LLMs, computer vision, and multimodal AI • Hands-on experience with AI frameworks such as TensorFlow, PyTorch, and JAX • Experience designing and deploying large-scale AI systems in production environments • Strong knowledge of MLOps, model monitoring, CI/CD for ML, data pipelines, feature stores, and cloud-based AI infrastructure • Experience with AWS, Azure, or Google Cloud, as well as distributed training using GPUs or TPUs • Demonstrated ability to translate business needs into AI strategies, technical roadmaps, and measurable outcomes • Strong leadership, communication, stakeholder management, and cross-functional collaboration skills • Knowledge of responsible AI, AI governance, model risk management, bias mitigation, and regulatory compliance.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities