Artificial Intelligence Engineer

Looking for a Lead AI/Data Engineer to play a critical role in advancing the enterprise AI and data platform. This individual will help scale an in-flight AI and analytics initiative that supports investment decision-making, knowledge management, and data-driven insights across the business. This is a hands‑on technical leadership role for someone who enjoys building, architecting, and deploying production‑grade AI and data solutions in a cloud‑first environment. Key Responsibilities Design and implement scalable AI and data platforms that unify structured and unstructured internal and external data to support advanced analytics and LLM‑powered workflows. Build and optimise Retrieval‑Augmented Generation (RAG) pipelines, including embedding strategies, vector search, and retrieval performance tuning. Develop and maintain robust data ingestion and transformation pipelines across multiple data sources. Architect backend services and APIs in Python to expose AI and analytics capabilities such as semantic search, summarisation, and decision‑support tools. Collaborate closely with business and technology stakeholders to translate real‑world use cases into scalable solutions. Lead technical direction, mentor engineers, and establish best practices across AI, data, and platform engineering. Ensure reliability, observability, and governance of AI systems, including monitoring, evaluation frameworks, and security standards. Drive the transition from proof‑of‑concept to enterprise production environments. Required Qualifications 7+ years of experience across AI engineering, data engineering, backend development, or applied machine learning. Strong hands‑on Python development experience, including API design and scalable system architecture. Proven experience designing and deploying production AI or data platforms in cloud environments. Deep experience with Azure‑based data and AI ecosystems (e.g., Azure OpenAI, Cosmos DB, Azure ML, or related services). Experience building RAG systems, vector search workflows, or modern LLM applications. Strong understanding of data architecture, pipelines, and distributed systems. Ability to balance technical depth with strategic thinking and cross‑functional collaboration. Preferred Experience Background working with financial, investment, or real asset data. Experience in regulated or enterprise environments. Exposure to graph data, knowledge modelling, or advanced analytics. Why This Role Opportunity to shape a high‑impact AI platform with real business visibility. Hands‑on architecture and ownership in a rapidly evolving area of technology. Collaborative environment with strong leadership support and long‑term investment in AI and data capabilities. #J-18808-Ljbffr Leeds Professional Resources