AI Engineer Internships
Ai engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and deploying machine learning systems, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated across Food & Beverage, Technology & Software, and Energy, with Tesla, TikTok, and AMD among the employers posting roles now.
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Company :
Highmark Inc.Job Description :
Applicants must be authorized to work in the U.S. independently. At this time, we do not offer visa sponsorship for this role.
The Summer 2027 Artificial Intelligence (Operations) Undergraduate Internship provides an exciting opportunity for students to gain practical, hands-on experience supporting the application of Artificial Intelligence (AI) across Health Plan Operations (HPO). This internship is designed to develop the next generation of diverse business professionals by providing exposure to how AI-driven solutions can enhance operational efficiency, improve customer experiences, and support strategic decision-making throughout the organization.
Interns will work alongside operational leaders, business teams, and technology partners to explore and support AI-related initiatives across key Health Plan Operations functions, including Appeals, Member Service, Enrollment & Billing, Provider Operations, Claims, and Benefits Administration . Participants will gain insight into how emerging AI technologies, automation, predictive analytics, and process intelligence are transforming healthcare operations and delivering value for members, providers, and the business.
Through hands-on project work, research, process analysis, and operational support, interns will contribute to initiatives focused on identifying opportunities for AI enablement, optimizing business processes, improving service delivery, and enhancing operational performance. The program will provide training, mentorship, networking opportunities, and exposure to a variety of career paths at the intersection of healthcare operations, business strategy, innovation, and artificial intelligence.
Typical responsibilities include supporting day-to-day operational objectives, participating in AI and operational improvement projects, conducting research and analysis, contributing to pilot initiatives and process evaluations, preparing reports and presentations, and developing recommendations that support business decision-making and operational excellence.
SUMMARY OF JOB RESPONSIBILITIES
This job has the goal of providing the opportunity to acquire practical experience through direct exposure to the related business line(s) and to develop the next generation of diverse business professionals. To that end, the program will provide hands-on training and experience in the business line, expose the various career opportunities in the business line and related areas, and prepare participants for positions in the business.
Typical responsibilities include, providing services to the day-to-day operating objectives of the assigned area, participating in projects and programs appropriate to the needs of the assigned area, participating in the planning and implementation of projects and initiatives, conducting research and reporting including recommendations or proposals for action.
REQUIRED QUALIFICATIONS
Full or part-time enrollment in an accredited college or university baccalaureate program.PERFERRED QUALIFICATIONS
Currently enrolled in a Computer Science, Business Administration or Finance programESSENTIAL JOB FUNCTIONS
1. Communicate effectively while interacting directly with colleagues, clientele, and/or other internal or external constituencies in the planning of assignments and the resolution of day-to-day operational problems.
2. Under supervision, provide entry-level professional services as appropriate to the day-to-day operating objectives of the area. Receives guidance, training, and mentoring from senior personnel in planning and carrying out activities and assignments.
3. Undertake and/or participates in projects and programs designed to develop professional skills and expertise appropriate to the needs of the organization.
4. Participate in the planning and implementation of unit projects and initiatives within area of expertise and ability.
5. As specifically requested by management, conduct research and reporting inclusive of recommendations or alternative proposals for action.
6. Undertake related studies or enrichment programs as appropriate to the specific objectives of the operating unit.
7. Perform miscellaneous job-related duties as assigned.
This internship is intended for students interested in the business and operational application of Artificial Intelligence within healthcare, providing exposure to how AI can improve processes, enhance service delivery, and support strategic operational decision-making across Health Plan Operations.
Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.
Compliance Requirement: This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies
As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
AI Engineer Internship Market
Who's Hiring
- Tesla17

- TikTok8

- AMD7

- New York Life4

- American Express4

Top Industries Hiring
- Food & Beverage
- Technology & Software
- Energy
- Marketing & Advertising
- Banking & Financial Services
Tips for Your AI Engineer Internship Search
Apply before the fall recruiting window closes
Large tech companies and AI research labs open summer intern recruiting as early as August or September the year before. If you wait until spring, the most competitive structured programs are already full. Set a calendar reminder and submit applications for target employers as soon as postings appear.
Build a GitHub portfolio before you start applying
Recruiters hiring ai engineer interns look for working code, not credentials. Two or three documented projects that show end-to-end model building, data preparation, training, evaluation, and a clear README, give hiring teams something concrete to assess. A linked repository on your resume does more work at this stage than a long skills list.
Work your campus network and apply directly at the same time
Campus career fairs surface structured programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside campus activity widens the pool you reach and catches openings that never make it to on-campus events.
Practice coding screens out loud before your first interview
AI engineering intern screens typically include data structures and algorithms questions, plus machine learning fundamentals. Interviewers weigh how you reason through a problem as much as whether you reach the right answer. Practice explaining your approach aloud while you code, not just solving problems silently, so the habit is natural before the real screen.
Target structured AI internship programs at larger companies
Many large tech employers run cohort-based AI or machine learning internship programs designed specifically to train people new to the field. These programs offer mentorship, defined project tracks, and clearer conversion paths. They recruit early and fill fast, so identify the programs that fit your background and apply in the first recruiting wave.
Set your work-type filter before you start
On-site roles are 40% of the ai engineer internships listed here. Decide what you can actually commit to, on-site, hybrid, or remote, before you start searching on Migrate Mate, then filter by location and work type so you spend time only on roles you can take.
AI Engineer Internships: Frequently Asked Questions
How do I get an ai engineer internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited professional experience at the intern level. A GitHub portfolio with working model implementations, documented experiments, or deployed applications gives recruiters a concrete artifact to assess. Pair direct applications with campus career fairs, where AI engineering recruiters often move faster for students they meet in person.
Can an ai engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it is performance on real project work, available headcount on the team, and return-offer timing relative to your graduation date. Position yourself by shipping something meaningful and communicating interest early, without counting on a conversion before you have one.
When should I apply for ai engineer internships?
Earlier than most candidates expect. Large tech and research employers open summer intern recruiting the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post closer to actual start dates, so openings appear year-round. Checking listings consistently and applying as soon as a role opens puts you ahead of candidates who wait.
Are ai engineer internships paid?
Most professional ai engineer internships in the United States are paid. Compensation varies by company size, industry, and location. Listings show pay where the employer chooses to disclose it, so check individual postings for specifics rather than assuming a fixed range.
What should an ai engineer internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools, frameworks, and datasets used, with a linked GitHub repository or live demo so reviewers can assess your work directly. Add relevant coursework in machine learning, deep learning, or data systems, list programming languages and libraries, and keep everything to one page.
Are there remote ai engineer internships?
Yes. Remote and hybrid roles make up 60% of the ai engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they attract candidates across the country, so apply early and filter by work type to see them before they close.
Can international students get ai engineer internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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