Intern - Generative AI Research Engineer

Summary: Cotiviti is a company focused on advanced healthcare informatics technology, and they are seeking a Generative AI Research Engineer Intern. The intern will conduct research on Generative AI and Artificial General Intelligence technologies, develop models and systems to improve healthcare solutions, and collaborate with various teams to support ongoing projects. Responsibilities: - Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI - Assists in developing and improving LLMs and ML tools used across the organization - Assists in establishing and maintaining an Artificial Intelligence Governance Program - Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management - Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects - Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends - Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions - Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs - Supports vendor evaluations and contributes to collaborations with vendors - Assists as a liaison between academic institutions, professional organizations, and research groups as needed - Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills - Complete all responsibilities and goals outlined in the internship program - Complete all special projects and other duties as assigned - Must be able to perform duties with or without reasonable accommodation Required Qualifications: - Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD - Demonstrated interest or experience in AI, healthcare technology, or informatics research - Strong foundational knowledge in generative AI model development, architectures, and vector databases - Hands-on experience with working with Machine Learning and Deep Learning models - Ability to work collaboratively and communicate effectively with cross-functional teams Preferred Qualifications: - Experience with LLM/RAG models and LLM fine-tuning is a plus - Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions - Experience with vector embeddings and databases is a plus Required Skills: Generative AI model development, Artificial General Intelligence technology, Healthcare informatics technology, Machine Learning, Deep Learning, LLM models, RAG models, LLM fine-tuning, Cloud services AWS, Cloud services Azure, Vector databases, Data pipelines for ML solutions, Vector embeddings