IT Application Business Analyst Developer Co-op Spring 2026

Commonwealth of Massachusetts•Boston, MA

About The Position

We are seeking a highly motivated AI Engineering Intern with a passion for artificial intelligence, cloud computing, and data-driven development. You will work alongside our MassDOT Technology division’s AI Engineering team to design, build, and deploy AI/ML applications and data pipelines using AWS services. This is an excellent opportunity to gain real-world experience applying machine learning and AI techniques in a cloud-native environment.

Requirements

Excellent written, verbal, and analytical skills.
Ability to effectively communicate and build consensus across various project stakeholders including, IT management, business customers and other IT colleagues and team members.
Upon a conditional offer of employment, applicants must agree to and successfully satisfy: (i) a comprehensive name-based and fingerprint-based background check of his/her state and federal criminal history records information from all U.S. states, the District of Columbia and certain U.S. Territories and from some foreign nations; (ii) an employment reference check, and (iii) a satisfactory review of his/her driving records to be eligible for this position.
All job applications must be submitted online through MassCareers to be considered.
Please provide a complete, accurate and current resume / application for MassDOT to review in order to determine if your submitted materials meet the minimum entrance requirements for the position.

Nice To Haves

Ability to define, manage and exceed customer expectations.
Strong intellectual curiosity and capacity for professional growth
Perform with a strong sense of urgency.
Attention to detail with the ability to manage multiple priorities.
High level of professionalism and focus on quality.
Familiarity with Web and SAAS cloud applications and configuration
Proficient with Microsoft Office with strong Word and Excel skills.

Responsibilities

Develop and fine-tune large language models (LLMs) and other machine learning models using AWS tools such as Bedrock, SageMaker, Kendra, Lambda, and Deep Learning AMIs.
Assist in the design and deployment of AI/ML-powered applications and intelligent automation workflows.
Participate in code reviews, sprint planning, and daily stand-up meetings with cross-functional teams.
Research emerging AI/ML techniques and support experimentation and documentation of findings
Collaborate with stakeholders and application owners to gather and define business and technical requirements.
Analyze existing workflows, identify opportunities for automation or improvement, and contribute to gap analyses.
Assist with the development of project work plans, estimates, deliverables, and documentation.
Create case scenarios and participate in the user acceptance testing (UAT) process.
Document support tickets and ensure timely communication with business and IT stakeholders.
Coordinate with vendors, internal teams, and leadership to manage system enhancements and troubleshoot issues.
Maintain clear documentation of current and future state system processes.