AI Summary
Powered by ClaudeThis is a senior technical leadership role, suited to someone who enjoys designing enterprise-scale AI architectures, leading strong engineering teams, and working closely with clients to shape AI strategy and delivery. What you'll be doing Leading teams of machine learning engineers to deliver AI and Generative AI solutions in complex, large-scale enterprise environments Designing end-to-end technical architectures for AI systems, covering the full data science and machine learning lifecycle A…
Job description
This is a senior technical leadership role, suited to someone who enjoys designing enterprise-scale AI architectures, leading strong engineering teams, and working closely with clients to shape AI strategy and delivery. What you'll be doing Leading teams of machine learning engineers to deliver AI and Generative AI solutions in complex, large-scale enterprise environments Designing end-to-end technical architectures for AI systems, covering the full data science and machine learning lifecycle Architecting cloud-based analytics and AI platforms, with a strong focus on scalable, production-ready solutions and AIOps best practice Advising clients on how to effectively leverage data science, machine learning and AI within cloud ecosystems Working hands-on with modern cloud AI platforms such as Azure (Databricks, Azure ML), AWS (SageMaker), and Google Cloud (Vertex AI) Designing robust, scalable AI/ML systems that integrate cleanly with wider enterprise architectures Contributing to innovative use cases such as AI Digital Twins, combining AI/ML systems, rule-based logic and generative AI to enable real-time monitoring and optimisation Supporting pre-sales and proposal work, bringing architectural expertise into client-facing discussions What they're looking for Degree in Computer Science, Engineering or a related technical field 8+ years of overall professional experience, with at least 5 years in machine learning engineering or AI/ML architecture roles Strong background in software engineering and hands-on AI implementation Proven experience designing and building scalable, cloud-based machine learning platforms Deep understanding of data science fundamentals, AI solution lifecycles and AIOps Strong experience across at least one major cloud platform: Azure, AWS or Google Cloud Confident communicator, able to engage both technical teams and senior, non-technical stakeholders If you're a senior AI Architect looking for a role that combines deep technical ownership, leadership, and client-facing impact, please respond with your latest CV in English.
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