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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solutions Architect (UK) - **Company:** Lumai - **Location:** Oxford, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Centers, Machine Learning, AI Infrastructure, Large Language Models - **Published:** June 19, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=f187d6924905917a ## About the Role Do you have experience in Optical experience?, Must-Have * Substantial experience in a solutions architecture, technical pre-sales, or senior field engineering role within AI infrastructure, high-performance compute, semiconductors, or a comparable deep-tech hardware domain * Strong working knowledge of AI inference at scale - how large language models are deployed * Familiarity with data centre architecture: rack power, thermal, networking, and integration with existing software stacks * Demonstrated ability to lead technical discovery with sophisticated customers and translate requirements into a solution * Comfortable operating in a fast-moving, sometimes ambiguous, pre-product environment Strong Preference For * Direct experience selling into, or working within, hyperscalers, neo-clouds, frontier AI labs, or national laboratories * Awareness of the competitive landscape and how Lumai's optical approach is positioned against it * Background or genuine curiosity in novel compute - photonics, optical computing, or other post-silicon architectures * Enough hands-on credibility with benchmarking and performance analysis that customer ML and infrastructure engineers respect your reading of results ## Description We are looking for a technically deep and commercially astute Senior Solutions Architect to own the technical heart of our customer engagements as we bring the world's first optical compute inference platform to market. You will be the person who turns a customer's interest into a credible, technical opportunity. You will lead deep technical discovery with the most demanding customers in the industry - hyperscalers, neoclouds, frontier AI labs, and national laboratories - and translate what they need into a Lumai-based solution, mapping their requirements against Lumai's current and roadmap solutions. You will work hands-on with our benchmark team to prove the solution against real customer workloads, and you will author the technical proposals and responses that allow a customer to make the argument for Lumai inside their own organisation. This is an early-stage role where you will help write the playbook. You will be as comfortable in a benchmarking discussion with a customer's ML engineers as you are presenting a solution to their technical leadership, and you will act as a vital channel back into our own product and engineering teams, ensuring the voice of the customer shapes what we build next., * Conduct deep technical discovery with customer infrastructure and ML engineering teams * Translate customer requirements into a Lumai-based solution, mapping needs against both near-term and roadmap solutions * Define the shape of an engagement - benchmark, proof of concept, reference architecture, or statement of work * Works hands-on with Lumai's benchmark team to scope, run, and interpret benchmarks, and owns the presentation of results * Produce the technical case for Lumai - proposals, solution documentation, and responses to RFIs, RFPs, and tenders * Design and delivers demos and technical workshops for customer technical teams * Feed customer requirements, evaluation feedback, and roadmap reactions back into product and engineering, playing a critical role in driving the Lumai roadmap ## Related Videos - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [How to build a sovereign European AI compute infrastructure](https://www.wearedevelopers.com/videos/1102-how-to-build-a-sovereign-european-ai-compute-infrastructure) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)