Software Engineer AI Internships
Software engineer ai internships give university students, recent graduates, and early-career switchers hands-on project experience building and fine-tuning AI systems, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated in Technology & Software, Energy, and Food & Beverage, with Tesla, AMD, and TikTok 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
Software Engineer AI Internship Market
Who's Hiring



Top Industries Hiring
- Technology & Software
- Energy
- Food & Beverage
- Accounting & Auditing
- Electronics & Hardware
Tips for Your Software Engineer AI Internship Search
Apply months before the start date
Large employers running structured summer cohorts open applications the preceding fall and close them well before winter. Smaller companies and co-op programs post closer to the start date, so check listings consistently rather than waiting for one recruitment season. Starting early gives you the widest set of options.
Build a portfolio before you apply
For software engineer ai intern roles, a linked GitHub repository with two or three complete projects tells recruiters more than a work history section. Each project should name the tools and frameworks you used, show the code, and ideally include a deployed demo or written summary of what you built and why it worked.
Work your campus network and apply directly at the same time
Campus fairs surface structured internship 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 AI teams alongside campus activity widens the pool and reaches employers who do not recruit on campus at all.
Practice your technical screen out loud
Software engineer ai intern interviews typically include a coding screen covering data structures, algorithms, and sometimes machine learning fundamentals. Practice solving problems while explaining your reasoning aloud, not just arriving at the answer silently. Interviewers weigh how you think through ambiguity as much as whether your final solution is correct.
Target structured AI internship programs early
Several large technology and AI research employers run dedicated early-career engineering cohorts designed to train people new to production AI work. These programs recruit in the fall for the following summer, fill faster than general internship postings, and are selective. Identify the ones that fit your background and apply in the first wave.
Set your work-type filter before you start
On-site roles are 41% of the software engineer ai internships listed here. Decide what you can realistically commit to before you start reviewing listings, then filter by location and work type on Migrate Mate so you are not sorting through roles that do not fit your situation.
Software Engineer AI Internships: Frequently Asked Questions
How do I get a software engineer ai internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. For software engineer ai roles, a linked GitHub repository or deployed model demo gives recruiters something concrete to assess. Apply directly to companies you want to work for, and attend campus career fairs, where recruiters often move faster for students they meet in person.
Can a software engineer ai internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For software engineer ai interns, what actually drives it is delivering on real project work, fitting within team headcount at offer time, and understanding the return-offer timeline before your internship ends. Position yourself for one by shipping something meaningful, but do not plan your career around it.
When should I apply for software engineer ai internships?
Earlier than most students expect. Large tech and AI-focused employers recruit summer interns starting in the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post closer to the actual start date, so openings appear year-round. Checking listings regularly rather than waiting for a single application window is the practical approach.
Are software engineer ai internships paid?
Most professional software engineer ai internships in the U.S. are paid. Compensation varies by company size, industry, and location, and some employers include housing stipends or relocation assistance on top of base pay. Where an employer discloses compensation, it appears directly in the listing, so you can compare before applying.
What should a software engineer ai internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and frameworks you used and link directly to the code, a deployed demo, or a published write-up, a linked GitHub repository is the standard proof for software engineer ai candidates. Add relevant coursework in AI, machine learning, or systems, and keep the whole document to one page.
Are there remote software engineer ai internships?
Yes. Remote and hybrid roles make up 59% of the software engineer ai internship listings here, with the rest on-site. Remote cohorts fill fast because they attract candidates from everywhere, so apply early once you decide remote works for you, and use the work-type filter to see only those listings.
Can international students get software engineer ai 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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