Principal Applied AI Scientist - Agentic AI
Tasks
- Architect predictive generative and optimization models for healthcare workflows
- Deploy and maintain models with engineering and DevOps teams
- Design and implement machine learning and optimization methodologies
- Develop analytics forecasting and decision support models
- Develop monitoring frameworks for model performance and data quality
- Develop new AI driven products insights and automation capabilities
- Drive experimentation and rapid prototyping for product development
- Ensure compliance with HIPAA and healthcare data privacy regulations
- Gather client feedback to ensure measurable value
- Implement responsible AI practices with model validation and risk management
- Lead research design and deployment of machine learning and AI systems in production environments
- Research and evaluate foundation models and agentic systems
- Serve as technical mentor for applied scientists and data scientists
- Translate AI capabilities into scalable production solutions
- Write scalable, production-ready code
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Employee stock purchase plan
- Flexible scheduling
- Health insurance
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Tuition assistance
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Accuracy testing | Agentic Systems | Autogen | Cloud Computing | CrewAI | Decision support | Deep learning | Embeddings | Evaluation | Forecasting | Generative AI | LLMOps | Langchain | Langgraph | Large Scale Data | Large-scale | Latency optimization | MLOps | Machine Learning | Model Monitoring | Optimization | PyTorch | Python | RAG | Reliability Engineering | Retrieval | TensorFlow
Education
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