• Lead the development of scalable software systems that integrate generative AI models, autonomous agents, and machine learning pipelines • Collaborate with cross-functional teams to identify opportunities for AI-first innovation across digital health products • Drive the adoption of AI engineering best practices, including prompt engineering, model fine-tuning, and responsible AI governance • Facilitate technical discussions between Application Architects and developers to ensure AI capabilities are embedded into the design and architecture of new solutions • Stay current with advancements in AI and emerging technologies, and translate them into actionable strategies for product development • Design, develop, and maintain scalable data pipelines and APIs using Python and FastAPI • Integrate and orchestrate LangChain and LLM-based services into production environments • Build robust data preprocessing workflows for structured and unstructured data • Develop and maintain integrations with external and internal RESTful services • Collaborate with ML engineers, data scientists, and product teams to deliver end-to-end AI solutions • Implement DevOps best practices including CI/CD pipelines and containerization (Docker) • Identify and resolve security vulnerabilities in data services and APIs • Monitor and optimize system performance, reliability, and scalability