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CotivitiCO

Intern - Generative AI/Agentic AI/Research

Cotiviti is a solutions and analytics company that leverages clinical and financial datasets to provide insights into the performance of the healthcare system, focusing on payment accuracy, risk adjustment, quality improvement, and consumer engagement. It also serves the retail industry with data management and recovery audit services.

Cotiviti

Employee count: 5000+

Salary: 67k-83k USD

United States only

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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.

About the job

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Posted on

Job type

Intern

Experience level

Salary

Salary: 67k-83k USD

Education

Postgraduate degree

Experience accepted in place of education

Location requirements

Hiring timezones

United States +/- 0 hours

About Cotiviti

Learn more about Cotiviti and their company culture.

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Through groundbreaking technology and profound data analytics, Cotiviti is revolutionizing the economics of healthcare. The company is at the forefront of enabling healthcare organizations to deliver enhanced care at a reduced cost, thereby ensuring the quality and sustainability of the healthcare system in the United States. Cotiviti's innovative solutions are a critical foundation for healthcare payers, empowering them in their mission to lower healthcare expenditures and elevate quality through higher-performing payment accuracy, risk adjustment, quality improvement, and consumer engagement programs. By processing and analyzing billions of clinical and financial data points, Cotiviti uncovers opportunities for clients to boost efficiency and quality, ultimately leading to better care for their members. The company's commitment to responsible AI implementation is evident in its partnership with the Responsible AI Institute, aiming to develop new ways to leverage artificial intelligence to foster a high-quality and viable healthcare system. This focus on accelerating the development of innovative healthcare technologies drives advancements in data analytics, interoperability, and value-based care solutions.

Cotiviti's expertise extends to serving the retail industry with sophisticated data management and recovery audit services designed to improve business outcomes. The company's approach is rooted in a combination of advanced technology, comprehensive data analytics, and specialized expertise. This synergy allows Cotiviti to provide solutions that address payment accuracy, quality improvement, risk adjustment, and network performance management. Cotiviti's dedication to innovation is further highlighted by its recent technological advancements, such as 360 Pattern Review, which utilizes artificial intelligence to rapidly identify potential healthcare fraud, waste, and abuse, and Zero Hour Alerts, which empowers large retailers to prevent payment errors. With a global team of over 9,000 employees, Cotiviti fosters a collaborative environment where specialized and talented teams work in tandem to ensure operational efficiency and deliver services that exceed industry standards. The company's vision is to enable a high-quality and viable healthcare system, and its mission is to improve this system through its unique blend of technology, analytics, and expertise.

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