Intern – AI Engineer

Cotiviti

AI Engineer Intern focusing on healthcare informatics and the development of emerging Artificial General Intelligence. Supporting projects in architecture, governance, and collaborating with teams.

Posted 7/9/2026internshipRemote • 🇺🇸 United StatesEntry Level💰 $32 - $40 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and healthcare informatics, with a strong foundation in generative AI model development, machine learning, and cloud services. Collaborates effectively with cross-functional teams to deliver innovative solutions and insights in the healthcare technology domain.

Highest-signal resume keywords

Generative AI Model DevelopmentMachine LearningDeep LearningCloud Services (AWS/Azure)Healthcare Informatics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ResearchData Pipeline DevelopmentVector DatabasesLLM/RAG ModelsLLM Fine-Tuning

Soft Skills

Effective CommunicationCollaboration

Industry Keywords

Healthcare TechnologyInformatics ResearchData AgentsGovernanceEnterprise Trends

Tech Stack

Tools & technologies

AWSAzureCloudRealm

About the role

Key responsibilities & impact

The AI Engineer Intern focuses on researching and developing advanced healthcare informatics, particularly in the realm of emerging Artificial General Intelligence.
Support multiple projects to set up the underlying architecture, such as context layer for data agents, setting up guardrails and governance.
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.
Completes all responsibilities and goals outlined in the internship program. Complete all special projects and other duties as assigned.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance
Flexible working hours
Professional development opportunities