AI Scientist – Modern AI Applications

AI Scientist – Modern AI Applications

The Impact You’ll Make in this Role

As a Principal AI Scientist with deep expertise in Agentic AI, Generative AI, and Natural Language Understanding (NLU),  you will lead high-impact technical innovation in HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations.

Key Responsibilities

Research & Innovation

• Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows.

• Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text.

• Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding.

Healthcare-Focused AI Development

• Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations.

• Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).

• Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement.

Technical Leadership

• Serve as the primary technical authority on Agentic and Generative AI within project teams.

• Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops.

• Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices.

Operational & Compliance Excellence

• Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness.

• Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).

• Partner with engineering to move research prototypes into production environments.

Required Qualifications

• Master’s in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models.

Or

• PhD in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models.

• Proficiency in Python, R, and modern ML libraries.

• Experience with GenAI, LLMs, and transformer architectures.

• Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).

• Hands-on experience with autonomous AI agents and reasoning systems.

• Strong track record applying AI to healthcare or life sciences use cases.

• Familiarity with cloud platforms (AWS) and MLOps practices.

• 5+ years of experience managing direct reports (hiring, performance reviews, etc.)

Preferred Skills

• Multi-modal AI research experience (text, image, structured data).

• Knowledge graph integration and symbolic reasoning expertise.

• Proven ability to take AI research from concept to production.