Medicaid Management Information Systems (MMIS) Artificial Intelligence (AI) Knowledge Management Intern

Commonwealth of Massachusetts • Quincy, MA

8d • Hybrid

About The Position

The EHS-IT team supporting the MassHealth (MH) within the Executive Office of Health and Human Services (EHS) is seeking an Artificial Intelligence (AI) Intern. The person hired for this position should have prior AI experience to support our existing chatbot built on AWS and build new solutions but not limited to: requirements, design, development, testing and implementation. The person hired will be working to support the enhancement of a generative AI-powered knowledge tool instance reusing MEC AI Knowledge technical solution to improve access to MMIS operational and technical information. The primary work location for this role will be at 100 Hancock St, Quincy, Massachusetts 02171. The work schedule for this position is Monday thru Friday, 8:00AM to 4:00PM EST. This position would be expected to follow a hybrid model of reporting to work that combines in-office workdays and work from home days as needed.

Requirements

• Undergraduate or graduate student.
• Prior AI experience to support our existing chatbot built on AWS and build new solutions but not limited to: requirements, design, development, testing and implementation.
• Ability to work with structured and unstructured data
• Strong analytical, problem-solving skills, and system-thinking mindset
• Strong writing and documentation skills
• Ability to translate complex information into simple steps

Nice To Haves

• Interest in AI/ML, data systems, or information management
• Familiarity with cloud platform (AWS/Azure) and AI tools (preferred)

Responsibilities

• Partner with MMIS stakeholders to identify and curate knowledge sources (e.g., SharePoint, documentation repositories)
• Prepare and structure content for ingestion into AI tools (e.g., Amazon Kendra, Bedrock)
• Conduct testing and evaluation of chatbot responses for accuracy and usability
• Recommend and implement improvements to model performance and content organization
• Document methodology and create a repeatable framework for scaling knowledge tools

Benefits

• Sick leave accruals
• Paid on a biweekly basis
• Direct deposit

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed