Intern - Generative AI/Agentic AI/Research

SpeedyApply LLC; United States; Presencial; USD 44.000 - 55.000; Jornada completa

Descripción de la vacante

Cotiviti is seeking an Intern for Generative AI/Agentic AI/Research to explore advanced healthcare informatics and autonomous AI agents.

You will work with cross-functional teams, develop LLMs, governance programs, and test AI systems in healthcare settings.

This internship offers hands-on research, collaboration with academia and vendors, and a strong focus on ethics and safety.

Formación

• This internship requires pursuing or completing an advanced degree in healthcare, technology, or informatics.
• Strong interest or experience in AI, healthcare tech, or informatics research.
• Foundational knowledge of generative AI models, architectures, and vector databases.

Responsabilidades

• Research and develop agentic AI and generative AI systems for healthcare.
• Collaborate with cross-functional teams on projects and governance programs.
• Assist in architecture design, model development, and testing.
• Support AI ethics and safety within governance efforts.

Conocimientos

Generative AI

Agentic AI

Healthcare informatics

LLM testing

Educación

PhD preferred

Herramientas

AWS

Azure

Vector databases

Descripción del empleo

Job Locations: US-Remote

ID: 2026-18929

Category: Internship

Position Type: Full-Time

Intern - Generative AI/Agentic AI/Research

Overview

This internship centers on researching and developing advanced healthcare informatics solutions with a specialization in Agentic AI-AI systems capable of autonomous reasoning, decision-making, and goal-directed behavior. The intern will explore applications of Agentic and Generative AI in healthcare, supporting improvements in treatment, payment, and operations. You will play a key role in developing, analyzing, and collaborating on agentic AI projects, and work closely with cross-functional teams to drive innovative research and practical implementation in healthcare environments.

Responsibilities

Technical Expertise

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.
• Gain hands-on experience in generative AI model development, architecture design, and database management.
• Conduct research on Agentic AI models and their potential impact on healthcare workflows and decision-making.
• Assist in designing, developing, and testing autonomous AI agents and generative AI systems tailored for healthcare informatics.
• Support efforts to establish and maintain an Artificial Intelligence Governance Program with a focus on agentic AI ethics and safety.

Communication & Collaboration

• 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.

Leadership & Management

• 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.

External Relationships & Partnerships

• Supports vendor evaluations and contributes to collaborations with vendors.
• Assists as a liaison between academic institutions, professional organizations, and research groups as needed.

Other

• 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.

This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti's needs and requirements of the internship evolve.

Qualifications

• Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science, AI, etc.) 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. 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.
• Ability to work collaboratively and communicate effectively with cross-functional teams.

Mental Requirements:

• Communicating with others to exchange information.
• Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:

• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands, and/or fingers.
• Must be able to provide a dedicated, secure work area.
• Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
• No adverse environmental conditions are expected.

Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.

Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.

Date of posting: 4/15/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 08/15/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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