> Markdown version of [/jobs/ext/4574103-lead-data-ai-architect](https://www.wearedevelopers.com/jobs/ext/4574103-lead-data-ai-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data & AI Architect - **Company:** Tenth Revolution Group - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £85,000.0 - £110,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Data Architecture, Data Governance, Data Infrastructure, Python (Programming Language), Machine Learning, Cloud Services, SQL Databases, Retrieval-Augmented Generation, Generative AI, Agentic-AI, Data Management - **Published:** November 5, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5953459020 ## About the Role * AWS architecture and cloud data platforms * SQL and modern data modelling * Production-grade data platform design * Data governance, quality and observability * Strong stakeholder engagement and communication skills * Experience influencing technical strategy and architecture decisions Desirable: * AI, Machine Learning or Generative AI experience * Agentic AI, RAG or AI governance exposure * Customer-facing or consulting experience * Experience within regulated or security-conscious environments Technology AWS | Python | SQL | APIs | Data Platforms | Analytics Engineering | Data Governance | Machine Learning Infrastructure | Generative AI | Agentic Systems ## Description You'll work closely with customers, product teams and technical stakeholders to design AI-ready data platforms, influence technical direction and establish trusted foundations for analytics and AI., * Designing and evolving AWS-based data architectures * Supporting AI, Machine Learning and Agentic AI initiatives * Driving data governance, observability, quality and lineage standards * Acting as a trusted technical advisor to customers and stakeholders * Shaping architecture, tooling and best practices across the platform * Helping organisations operationalise AI in complex enterprise environments