Full-time Europe London
Job DescriptionArchitect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities.
Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi structured data sources (e.g., Excel, JSON).
Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multimodal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs).
Drive data quality through embedded validation, monitoring, and automated reporting frameworks.
Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct , Tree-of-Thoughts, Reflexion , or hybrid reasoning patterns) for automation, insight generation, and decision support.
Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases.
Mentor and grow a high-performing team of architects, engineers, and analysts-fostering innovation, cross functional collaboration, and delivery excellence.
Champion AI and data architecture as strategic enablers of business transformation-linking technology decisions directly to measurable client outcomes.
Technologies & ConceptsKearney Activate prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Kearney Activate aims to build diverse capabilities to help our clients solve their most mission critical problems. Kearney Activate is committed to building a diverse, unbiased and inclusive workforce. Kearney Activate is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person's gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.