AI Manager : Global Enterprise : London, hybrid : £110k

Hunter Bond

AI EngineerleadLondon Area, United KingdomhybridfulltimeArtificial Intelligence, Data Infrastructure and Analytics, and Technology, Information and MediaGenerative AIAI AgentsVoice AILLMsRAGPythonMLOpsCloud platformsposted 21 Jul
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Our client, a leading enterprise organisation undergoing a significant AI transformation, is looking to appoint an experienced AI Manager to lead the delivery of innovative AI solutions across the business. This is an exciting opportunity to shape the future of enterprise AI, managing a talented engineering team while driving the successful delivery of cutting-edge AI initiatives including Generative AI, AI Agents and Voice AI. If you're passionate about building high-performing teams, delivering enterprise-scale AI solutions, and influencing AI strategy, we'd love to hear from you. The Opportunity As AI Manager, you'll play a pivotal role in leading the AI Engineering function, working closely with Solution Architects, Product Managers and senior business stakeholders to deliver an ambitious AI roadmap. You'll be responsible for both people leadership and technical delivery, ensuring AI solutions move efficiently from concept through to production whilst maintaining the highest standards of engineering excellence, governance and operational performance. Key Responsibilities * Team Leadership \& Development * Strategic Delivery \& Roadmap Ownership * Stakeholder Management \& Governance * Quality \& Performance Management About You We're looking for an experienced technology leader who combines strong people management skills with a genuine passion for AI innovation. Essential Experience * Proven experience leading and developing technical teams within a software engineering or AI environment * Demonstrable experience delivering enterprise AI initiatives, including Generative AI, AI Agents, Voice AI or similar intelligent automation technologies * Strong understanding of modern software engineering principles and development methodologies * Commercial mindset with the ability to assess business value and ROI when prioritising AI initiatives * Working knowledge of cloud platforms and modern AI technologies * Understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering and Python * Experience managing Agile delivery and cross-functional stakeholder engagement Desirable Experience * Hands-on software development or AI engineering experience * Exposure to AI Operations (AIOps), MLOps and production AI environments * Experience working with digital platforms, web or mobile technologies * Knowledge of modern data platforms and Data Lake architectures