onsite
Applied Science Manager - Healthcare AI - Amazon
Software Engineer
Lead a high‑performing applied science team to develop generative and agentic AI solutions that transform clinical and administrative workflows, driving better patient outcomes and operational efficiency in healthcare.
About the role
Key Responsibilities
- Lead and mentor a multidisciplinary team of applied scientists, data engineers, and domain experts to design, prototype, and deploy AI models for healthcare use cases.
- Own the end‑to‑end AI lifecycle, from data acquisition and feature engineering to model training, validation, and production deployment on AWS.
- Collaborate closely with product, engineering, and clinical stakeholders to translate medical requirements into scalable AI solutions.
- Drive research initiatives on generative and agentic AI, publishing findings and ensuring compliance with healthcare regulations.
- Establish best practices for model governance, bias mitigation, and continuous performance monitoring.
Requirements
- Ph.D. or Master’s in Computer Science, Data Science, or a related field with 5+ years of applied AI experience.
- Proven track record of leading AI teams and delivering production‑grade models in a cloud environment, preferably AWS.
- Deep expertise in Python, machine learning frameworks (PyTorch/TensorFlow), and generative AI techniques.
- Strong understanding of healthcare data standards, privacy regulations, and clinical workflows.
- Excellent communication skills and ability to influence cross‑functional stakeholders.
Skills
pythonmachine learningawsgenerative ai