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CotivitiCO

Intern - Generative AI Developer

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

The Generative AI Developer Intern focuses on researching and developing advanced healthcare informatics, particularly in the realm of Generative AI and emerging Artificial General Intelligence. It is designed to support improvements in healthcare treatment, payment, and operations. The intern will assist and take a primary role in developing, researching, creating analytical materials, and collaborating with various teams to drive AI-related projects.

We are currently looking for interns who can start in January 2026. If you are looking for a Summer start date, please keep an eye on our website for openings early next year.

Responsibilities

NOTE: There are multiple open intern positions. Hours and length of assignment will be at the intern's choice from 20 - 40 hours per week with a minimum of one semester up to one year.

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.

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

  • 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.

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) 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: 09/05/2025

Applications are assessed on a rolling basis. We anticipate that the application window will close on 10/05/2025, 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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About the job

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Job type

Other

Experience level

Entry-level

Salary

Salary: 67k-83k USD

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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