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Florence Healthcare is a clinical research software company used by over 30,000 research teams across 70 countries. The company's mission is to accelerate the pace at which new medicines reach market by optimizing trial site workflows.
As Director of AI, you will lead the design, development, and delivery of AI-powered capabilities across Florence's product suite. This is a hands-on technical leadership role that balances people management with deep technical contribution.
Key responsibilities include:
**Technical Leadership & Architecture:** Lead the technical design and architecture of AI-powered products. Evaluate and recommend LLMs, AI frameworks, orchestration platforms, and emerging technologies. Remain hands-on by building prototypes, validating approaches, and helping teams solve complex AI engineering challenges. Guide engineers on generative AI, agentic AI, RAG, prompt engineering, and model integration. Mentor AI engineers through technical coaching and design reviews.
**AI Engineering Delivery:** Lead development and operationalization of machine learning pipelines including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous improvement. Drive MLOps adoption to enable repeatable, scalable, reliable model development. Partner with Product Management to define AI capabilities that solve customer problems. Ensure solutions are reliable, observable, performant, cost-efficient, and production-ready.
**AI Platform & Engineering Excellence:** Design and enhance Florence's AI platform including ML pipelines, LLM/model orchestration, vector search, agentic AI frameworks, Model Context Protocol, AI gateways, knowledge retrieval systems, evaluation pipelines, feature stores, model serving infrastructure, and observability. Establish AI Development Lifecycle practices and engineering standards that enable consistent delivery.
**Leadership & Team Development:** Lead, mentor, and grow a team of AI and Machine Learning Engineers. Build capabilities across generative AI, classical ML, MLOps, and AI platform engineering. Provide day-to-day technical guidance and foster collaboration, experimentation, and continuous learning.
**Cross-Functional Collaboration:** Partner with Product Management on AI roadmaps and prioritization. Work closely with Platform/Product Engineering, Security, DevOps, QA, and Data Engineering teams.
