Senior AI Solutions Architect - London
Core
Design, build, and deploy production-grade Graph+GenAI solutions as a trusted advisor to strategic customers, translating complex data challenges into tangible business value.
Role type
Senior IC AI Solutions Architect (Consulting)
Builds
Scalable, production-ready AI applications integrating graph databases with LLMs and orchestration frameworks
Domain
Enterprise software, Generative AI, Graph Databases
Deliverable
production ML models | product features
Required skills
Graph database modeling and query languages (Cypher), Large Language Model (LLM) integration and fine-tuning, Cloud platform deployment (AWS/Azure/GCP), Container orchestration (Kubernetes/Docker), Enterprise application development lifecycle, Data engineering fundamentals, AI orchestration frameworks (LangChain, Llama Index, Haystack)
Preferred skills
Experience with specific LLM providers (OpenAI, Anthropic, Google, xAI, open-source), Big data technologies (Hadoop, Spark, Hive), Triple stores (Ontotext, Stardog)
Technologies
Neo4j, Python, Java, JavaScript, C#, Linux, Docker, Kubernetes, Git, SVN, AWS, Azure, GCP, LangChain, Llama Index, Haystack, OpenAI, Anthropic, Google Gemini, xAI Grok, LLama, DeepSeek, Mistral, Hadoop, Spark, Hive, SQL, NoSQL
Responsibilities
Propose and manage deployment of Graph+GenAI solution architectures, Collaborate with customer executives and technical leads to define requirements, Develop, test, and optimize production-level code for AI applications, Manage project scope, priorities, risks, and timelines, Share expertise through workshops, training, and documentation, Influence product roadmap with field insights
Seniority
Senior, hands-on IC