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

Hunter Bond
London, UK
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Infrastructure Software Engineering Web Platforms Core Voice Platform Large Language Models Prompt Engineering Generative AI Data Lakes Machine Learning Operations

Job description

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 OpportunityAs 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 ResponsibilitiesTeam Leadership & DevelopmentStrategic Delivery & Roadmap OwnershipStakeholder Management & GovernanceQuality & Performance Management

Requirements

About YouWe’re looking for an experienced technology leader who combines strong people management skills with a genuine passion for AI innovation. Essential ExperienceProven experience leading and developing technical teams within a software engineering or AI environmentDemonstrable experience delivering enterprise AI initiatives, including Generative AI, AI Agents, Voice AI or similar intelligent automation technologiesStrong understanding of modern software engineering principles and development methodologiesCommercial mindset with the ability to assess business value and ROI when prioritising AI initiativesWorking knowledge of cloud platforms and modern AI technologiesUnderstanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering and PythonExperience managing Agile delivery and cross-functional stakeholder engagement Desirable ExperienceHands-on software development or AI engineering experienceExposure to AI Operations (AIOps), MLOps and production AI environmentsExperience working with digital platforms, web or mobile technologiesKnowledge of modern data platforms and Data Lake architectures

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