Principal Applied Scientist
Core
Leading the design, development, deployment, and scaling of advanced AI and ML solutions to drive enterprise transformation and measurable business outcomes.
Role type
Principal Applied Scientist (AI/ML Strategy & Architecture)
Builds
Scalable end-to-end production AI/ML systems, enterprise AI strategy, and governance frameworks.
Domain
Healthcare industry, Artificial Intelligence, Machine Learning
Deliverable
production ML models
Required skills
AI/ML strategy definition, system architecture, model lifecycle management, Python, MLOps, structured/unstructured data systems, technical standards establishment, team mentorship
Preferred skills
Generative AI, Large Language Models (LLMs), Reinforcement Learning, Information Retrieval, Forecasting, Recommender Systems, Optimization, Causal Inference, Experimentation, Decision Intelligence, Regulated industry experience
Technologies
Python, Machine Learning frameworks, Cloud-based AI platforms, MLOps tools
Responsibilities
Define and drive enterprise AI/ML strategy aligned with organizational priorities; Lead design, validation, deployment, monitoring, and continuous improvement of advanced AI/ML solutions; Architect scalable end-to-end production systems; Translate complex business challenges into scalable AI solutions; Establish technical standards and best practices; Partner with business and technology leaders to influence roadmaps; Mentor data scientists, ML engineers, and technical leaders
Seniority
Principal, hands-on IC with strategic leadership
