> Markdown version of [/jobs/ext/2803849-solution-architect-london](https://www.wearedevelopers.com/jobs/ext/2803849-solution-architect-london). 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). --- # Solution Architect (London) - **Company:** LangChain - **Location:** Greater London, UK - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Data Stores, Relational Databases, Disaster Recovery, Python (Programming Language), Key Management, Machine Learning, Role-Based Access Control, Prometheus, Software Engineering, Systems Architecture, TypeScript, AI Infrastructure, Datadog, Transport Layer Security, Autoscaling, Grafana, Multi-Agent Systems, Prompt Engineering, Kubernetes, Api Design, Terraform, GPT - **Published:** September 9, 2026 - **Apply:** https://www.collegerecruiter.com/job/2858050861-solution-architect-london ## About the Role 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply, * 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) * Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments * Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices * Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing * Experience designing high-availability and disaster recovery solutions * Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) * Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development * 1+ years of experience building production AI/ML applications or agents * Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications * Experience with state management patterns (short-term and long-term memory) * Experience designing and implementing evaluation frameworks for AI applications * Strong prompt engineering skills with experience in optimization and A/B testing * Experience with vector stores, RAG patterns, and knowledge organization * Experience with tool integration, API design, and error handling patterns * Strong Python and/or TypeScript development skills, * Customer-facing experience with enterprise customers * Experience conducting technical assessments or infrastructure audits * Strong communication skills with ability to explai ## Description We're looking for a Solution Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture., Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations ## Related Videos - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)