> Markdown version of [/jobs/ext/725161-remote-solutions-architect-langfuse-emea](https://www.wearedevelopers.com/jobs/ext/725161-remote-solutions-architect-langfuse-emea). 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). --- # Remote Solutions Architect - LangFuse EMEA - **Company:** ClickHouse - **Location:** Derby, UK (Remote available) - **Salary:** £200,000.0 - £250,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Databases, Data Infrastructure, Data Stores, Software Debugging, Distributed Systems, Github, PostgreSQL, Open Source Technology, Raw Data, Software Deployment, Large Language Models, Prompt Engineering, Vertica - **Published:** June 29, 2026 - **Apply:** https://find.jobs/jobs-near-me/remote-solutions-architect-langfuse-emea-derby/2844555358-2/ ## About the Role * Hands-on experience in the LLM observability or AI monitoring space - whether at a vendor or as a practitioner building and operating LLM applications in production * Technical depth in the modern AI stack - you're comfortable discussing prompt engineering, RAG architectures, evaluation frameworks, token economics, and the data infrastructure that supports them * Customer-facing experience - pre-sales, solutions engineering, developer advocacy, or technical account management. You've navigated technical conversations with real stakes and know how to build trust with engineering teams * Strong foundation in data infrastructure - experience with analytical databases, distributed systems, and cloud infrastructure. Familiarity with ClickHouse, Postgres, or columnar databases is a strong plus * Open source orientation - you understand how open source communities work, how developer trust is earned, and how to contribute authentically rather than just promote ## Description AI applications are being built faster than teams can monitor, debug, or trust them. ClickHouse recently acquired Langfuse - the leading open source LLM observability platform - making it a core part of the ClickHouse product stack. Together, ClickHouse and Langfuse offer engineering teams the most powerful combination in the market: real-time, high-performance analytics infrastructure paired with best-in-class LLM tracing, evaluation, and observability tooling. This role sits at the center of that combined story. We're looking for a Langfuse Solutions Architect who is already embedded in the AI observability ecosystem - someone who understands how engineering teams instrument and evaluate LLM applications, and can credibly represent the full ClickHouse + Langfuse platform to the teams that need it most. This is not a generalist SA role. You'll be our dedicated technical presence in the LLM observability space - opening doors through the Langfuse community, deepening relationships with AI engineering teams, and helping them get the most out of a platform that now spans from raw data infrastructure to production LLM monitoring. You'll work at the intersection of community, pre-sales, and technical advisory, and you'll be the person who makes the ClickHouse + Langfuse stack the obvious choice for teams building serious AI applications. What You'll Be Doing Pre-Sales & Technical Advisory * Lead technical evaluations with AI engineering teams considering ClickHouse as their observability data store, from initial architecture review through POC and production deployment * Engage directly with data engineers, ML engineers, and platform architects to understand their LLM application stack, trace volumes, evaluation workflows, and query patterns - and map those requirements to ClickHouse capabilities * Work across all levels of customer organizations, from individual contributors building LLM pipelines to CTOs making infrastructure decisions * Design and deliver reference implementations, schema designs, and ingestion patterns optimized for LLM trace data at scale Pipeline & Revenue Contribution * Source and qualify pipeline directly through ecosystem relationships and community engagement - this role is expected to open doors, not just walk through them * Partner with ClickHouse AEs to progress and close opportunities within the AI and LLM application segment * Advocate internally for product improvements and integration enhancements that strengthen the ClickHouse + Langfuse story Ecosystem & Community Presence * Serve as ClickHouse's primary technical voice in the Langfuse community - contributing to forums, engaging on GitHub, participating in events, and building authentic credibility with AI engineers and developers * Develop relationships with the Langfuse core team and ecosystem partners to identify joint GTM opportunities and integration improvements * Create technical content - blog posts, tutorials, reference architectures, and demo environments - that showcases ClickHouse as the analytics backbone for LLM observability workloads ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Dev Digest 138 - Are you secure about this?](https://www.wearedevelopers.com/magazine/486-dev-digest-138-are-you-secure-about-this) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)