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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Architect - **Company:** Keyrus UK - **Location:** London, UK - **Salary:** £58,000.0 - £87,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Automated Storage and Retrieval Systems, Big Data, Data Discovery, Information Engineering, Cursor (Graphical User Interface Elements), Database Queries, Xbrl, Graph Database, Python (Programming Language), Metadata, Neo4j, Search Technologies, Web Application Frameworks, Enterprise Data Management, Retrieval-Augmented Generation, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Indexer, Fastapi, Knowledge Representation, Pandas, AI Platforms, Collibra - **Published:** June 29, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=64d3b1d96c4d3870 ## About the Role Do you have experience in Solution architecture?, * Strong experience developing solutions in Python (APIs, async architectures, pipelines, production systems) * Hands-on experience with LLMs and Generative AI, including: + Prompt engineering and structured output generation + Tool use and agent orchestration + Agentic workflows and multi-step reasoning * Strong experience designing RAG (Retrieval-Augmented Generation) architectures: + Embeddings, vector databases, retrieval pipelines + Chunking, indexing, and evaluation frameworks * Experience with knowledge representation and semantic modelling: + Knowledge graphs, semantic search, metadata-driven architectures * Strong SQL skills (analytics, joins, window functions) * Experience with Python frameworks (FastAPI, pandas, etc.) * Experience with enterprise data platforms (e.g. Snowflake) * Ability to translate business problems into technical solutions * Strong client-facing communication skills * Proven ability to work with high autonomy and ownership * Experience working with financial data / regulatory datasets * Fluent English * Willingness to travel occasionally if needed Nice-to-haves * Experience with AWS Bedrock or enterprise AI platforms * Experience with AI development tools (Copilot, Cursor, Claude Code, etc.) * Experience with graph databases (Neo4j) and knowledge graphs * Experience with financial data extraction (SEC, EDGAR, XBRL) * Exposure to metadata platforms (Collibra, MDM) * Experience building AI-powered data marketplaces or semantic search platforms * Background in consulting / solution architecture / FDE roles * Experience working in highly consultative, enterprise environments ## Description As an AI Solutions Architect, you will work at the intersection of artificial intelligence, data engineering, and business problem-solving, helping transform how analysts, researchers, engineers, and business stakeholders interact with data. You will join a small, highly skilled team and work directly with senior stakeholders to identify opportunities, design AI-powered solutions, and deliver them into production. This is a hands-on role, combining deep technical expertise with strong communication skills, where you will independently drive initiatives from problem discovery through implementation. This role closely resembles a Forward Deployed Engineer (FDE) profile: engaging directly with stakeholders, understanding complex business challenges, rapidly prototyping and deploying solutions, and taking full ownership of outcomes., * Lead the design and implementation of AI-powered solutions across enterprise data and analytics functions * Work directly with stakeholders to understand business challenges and translate them into technical solutions * Build production-grade agentic AI systems leveraging LLMs, retrieval architectures, semantic models, and knowledge representations * Develop intelligent document processing solutions for financial filings and structured financial content * Design and enhance semantic search, retrieval, and data discovery capabilities * Build natural language interfaces enabling non-technical users to interact with complex datasets * Contribute to metadata modelling, governance frameworks, and AI enablement initiatives * Own the full lifecycle from discovery through implementation, deployment, and optimisation * Act as a trusted technical partner, driving delivery and business value independently What Makes This Role Challenging * You will operate in a highly visible environment where both technical excellence and stakeholder management are critical * You will work on complex AI initiatives involving financial data, regulatory filings, and enterprise-scale retrieval systems * You will be expected to operate with high autonomy and ownership * Requirements will often be ambiguous and evolving, requiring structured problem-solving * You must balance innovation and experimentation with reliability and production-grade quality * You will regularly interact with senior stakeholders, translating complex technical concepts clearly ## Related Videos - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) ## 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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)