AI does not transform businesses. Architected intelligence does.For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.AI does not replace humans. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.Industrial discipline connects the two.London - UK (Hybrid, flexible)Contract type: Full-time (40h/ week)Compensation:58k - 87k (Senior Level) or 83k - 108k (Principal Level)What You'll ArchitectAs an AI Solutions Architect, you will help organisations transform complexity into measurable outcomes by combining artificial intelligence, data, semantic technologies, and human decision-making.This role is both technical and consultative — ideal for someone who can combine hands-on engineering, AI solution design, and direct stakeholder engagement. Working closely with analysts, researchers, engineers, and business leaders, you will design and deliver AI-powered solutions that transform how organisations discover, understand, and interact with data.Operating in a manner similar to a Forward Deployed Engineer (FDE), you will own initiatives from problem discovery through implementation, deployment, and optimisation, translating complex business challenges into scalable, production-ready solutions.Key ResponsibilitiesLead the design and implementation of AI-powered solutions across enterprise data and analytics environments.Build and deploy production-grade agentic AI systems leveraging LLMs, retrieval architectures, semantic models, and knowledge representations.Develop intelligent document processing solutions focused on financial filings, regulatory content, and structured financial data.Design and enhance semantic search, retrieval, and data discovery capabilities that improve access to enterprise knowledge.Build natural language interfaces that enable non-technical users to interact effectively with complex datasets.Contribute to metadata modelling, governance frameworks, and AI enablement initiatives.Own the full solution lifecycle from discovery, design, and development through deployment, optimisation, and continuous improvement.Who You AreYou are naturally curious and passionate about applying AI to solve real-world business problems.You enjoy working at the intersection of technology, data, and business strategy, translating complex challenges into practical solutions.You continuously learn and stay current with developments across Generative AI, Agentic AI, retrieval systems, and enterprise data platforms.ð ️ What You BringQualifications & ExperienceRelevant academic background or equivalent professional experience.Proven experience delivering AI, Data, or Software Engineering solutions in production environments.Demonstrated ability to independently drive initiatives from concept through implementation.Experience working with financial data, regulatory datasets, or enterprise information environments.Professional proficiency in English.Willingness to travel occasionally when required.Technical & Professional SkillsStrong Python expertise, including APIs, asynchronous architectures, data pipelines, and production-grade applications.Hands-on experience with Generative AI and LLM-based solutions, including:Knowledge GraphsSemantic SearchMetadata-Driven ArchitecturesStrong SQL skills, including analytics, joins, and window functions.Experience with Python frameworks such as FastAPI, pandas, and related technologies.Experience working with enterprise data platforms such as Snowflake.Nice to HaveExperience with AWS Bedrock or other enterprise AI platforms.Experience with AI engineering tools such as Copilot, Cursor, Claude Code, or similar.Experience with Neo4j, graph databases, or advanced knowledge graph implementations.Experience working with SEC, EDGAR, XBRL, or similar financial data extraction and processing frameworks.Exposure to Collibra, Master Data Management (MDM), or Metadata Management platforms.Experience building AI-powered data marketplaces, retrieval systems, or semantic search platforms.You build AI systems that balance innovation, usability, reliability, and scalability.You understand that successful AI solutions require more than models—they require strong foundations in data, retrieval, governance, and user experience.You are comfortable owning outcomes end-to-end, from initial discovery workshops to production deployment.You contribute to collective intelligence by sharing knowledge, mentoring others, and helping raise the standard of delivery across teams. What We Offer at Keyrus UKCompetitive holiday allowancePrivate Medical & Dental Insurance (Bupa)Group Life InsuranceGym & fitness discounts via Pluxee (Sodexo)On-site gym access at our London officeAccess to lifestyle discounts (travel, retail, entertainment & more) via Pluxee (Sodexo)Auto-enrolment pension scheme with Aegon.Training & Development via KLX (Keyrus Learning Experience)Strong focus on career development and internal mobility.Electric & hybrid car scheme via TuskerAnnual discretionary bonus, based on individual and company performanceReferral bonus for introducing new colleagues. Responsible AI & RecruitmentAt Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make decisions.To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.️Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process. Equal Opportunity StatementWe are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.
Aws Architect/ Solution Architect Remote in London employer: Keyrus
Keyrus UK is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. As a Forward-Deployed AI Architect, you will have access to competitive benefits and significant opportunities for professional growth, allowing you to make a meaningful impact on clients' AI challenges while working alongside talented data engineers and governance experts.
