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Vodafone Logo Vodafone · IT - Software Development

Enterprise AI Solutions Technical Lead

Egypt, Giza · Job Posted March 21, 2026
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Job Description

Act as the technical lead responsible for implementing enterprise customers’ requirements into actionable AI/ML solutions, working in close coordination with the Enterprise AI Solution Tech Lead and Product Owners. Develop and deliver robust AI models and data pipelines (on-prem and cloud-hosted), ensuring they meet business objectives, customer expectations, and performance standards. Collaborate with the Enterprise AI team to operationalize AI use cases and translate high-level solution designs into scalable, production-ready implementations. Apply deep data science expertise to bridge the gap between AI solution design and execution, ensuring technical soundness and business relevance.

Job Responsibility

  • Translate customers’ requirements into actionable data science tasks and implementation plans
  • Lead the development, training, and deployment of AI models and data pipelines tailored to customer-specific requirements
  • Ensure models and AI components are scalable, efficient, and production-ready, with smooth integration into customer systems and enterprise platforms
  • Serve as the subject matter expert (SME) in machine learning, data science, and AI engineering practices
  • Provide hands-on technical guidance to data scientists, engineers, and MLOps teams, ensuring accurate and effective implementation
  • Lead technical squads through virtual collaboration, guaranteeing solutions are built to meet both customer expectations and technical standards
  • Validate model performance, data quality, and technical fit before solution handover
  • Collaborate with the Enterprise Tech Leads and Product Owners to review and confirm solution readiness based on business impact, feasibility, and model validation results
  • Provide input on task prioritization based on complexity, risk, and technical dependencies
  • Work alongside the Enterprise team to ensure implemented AI solutions meet business outcomes and address real customer needs
  • Explain data science approaches, results, and business insights in a clear and accessible manner to both technical and non-technical stakeholders
  • Contribute to building customer confidence in Vodafone’s AI capabilities by ensuring reliable and transparent solution delivery
  • Identify technical opportunities to improve performance, accuracy, and efficiency of existing AI solutions
  • Recommend data science enhancements and automation strategies that can further strengthen the customer’s business outcomes
  • Contribute to refining reusable assets, components, and best practices for enterprise AI delivery

Requirements

  • Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field
  • 5–7 years of hands-on experience in developing and deploying AI/ML models in production environments
  • Advanced proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Strong expertise in building advanced Generative AI (GenAI) and Natural Language Processing (NLP) applications using modern large language models and frameworks (e.g., Hugging Face, Langchain, OpenAI APIs, Agents Frameworks)
  • Experience with big data processing and distributed computing using Apache Spark or similar technologies
  • Proficiency in building, deploying, and managing AI, GenAI and big data applications on cloud platforms (e.g., AWS, Azure, GCP)
  • Experience with MLOps tools and techniques for versioning, CI/CD, monitoring, and scaling models
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