实习生 - 生成式 AI/代理 AI/研究
Intern - Generative AI/Agentic AI/Research
Overview
本次实习聚焦于研究和开发先进的医疗信息学解决方案，特别专注于代理型人工智能（Agentic AI）——具备自主推理、决策和目标导向行为的AI系统。实习生将探索代理型和生成型AI在医疗领域的应用，支持治疗、支付和运营方面的改进。你将在开发、分析和协作推进代理型AI项目中发挥关键作用，并与跨职能团队紧密合作，推动医疗环境中的创新研究和实际应用。
Responsibilities
技术专长
- 对与医疗行业相关的技术趋势、研究和新兴技术有深入理解，特别是在生成型AI领域。
- 协助开发和改进组织内使用的大型语言模型（LLMs）和机器学习（ML）工具。
- 协助建立和维护人工智能治理计划。
- 获得生成型AI模型开发、架构设计和数据库管理的实际经验。
- 对代理型AI模型进行研究，探讨其对医疗工作流程和决策的潜在影响。
- 协助设计、开发和测试针对医疗信息学的自主AI代理和生成型AI系统。
- 支持建立和维护以代理型AI伦理和安全为重点的人工智能治理计划。
沟通与协作
- 向其他部门传达技术相关更新和需求，并为高级管理层的演示文稿做出贡献。
- 与研发团队、产品管理和战略分析师合作，支持正在进行的项目。
领导与管理
- 与业务部门合作，提供可靠的情报、经过验证的技术方案以及企业及行业趋势的见解。
- 通过协调具体任务、协助日常运营，支持技术项目团队，确保解决方案的成功交付。
- 协助与学术研究团队、实践项目、实习和供应商概念验证（POC）的合作努力。
外部关系与合作
- 支持供应商评估，并参与与供应商的合作。
- 在需要时担任学术机构、专业组织和研究小组之间的联络人。
其他
- 完成所有职责和目标中列出的内容
查看英文原文
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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Originally posted on Himalayas