AI Platform Engineer Internships
Ai platform engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and deploying ML infrastructure, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Roles are concentrated in Energy, Food & Beverage, and Technology & Software, with TikTok, AMD, and Los Alamos National Laboratory among the employers posting roles now.
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Showing 4 of 39+ AI Platform Engineer Internships
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
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 Platform Engineer Internship Market
Who's Hiring
Top Industries Hiring
- Energy
- Food & Beverage
- Technology & Software
- Electronics & Hardware
- Artificial Intelligence
Tips for Your AI Platform Engineer Internship Search
Apply in the fall for summer roles
Large tech employers and cloud platforms open summer internship applications as early as September. Smaller companies and co-op programs post much closer to their start dates. Checking listings in both the fall and the spring means you catch structured cohort programs and rolling openings without missing either cycle.
Build a portfolio before you apply
Hiring teams for ai platform engineer interns want something concrete to assess. Build two or three end-to-end projects covering ML pipeline orchestration, containerized model serving, or infrastructure-as-code deployments, document them clearly in a public GitHub repository, and link that repository in every application.
Work your campus network and apply directly at the same time
Campus career 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 cohorts alongside campus activity widens the pool you reach without waiting for an official recruiting event.
Practice your technical screen out loud
Ai platform engineer intern screens typically involve a coding round focused on data structures, algorithms, and systems design questions. Practice solving problems while explaining your reasoning aloud, not just arriving at the answer, because interviewers weigh how you think through infrastructure trade-offs as much as whether your solution compiles.
Target structured engineering internship programs early
Larger employers run cohort-based internship programs designed to train people entering platform and infrastructure engineering for the first time. These programs recruit months ahead of their start dates and fill quickly. Identify which ones align with your background and apply in the first wave rather than waiting for a second posting.
Set your work-type filter before you start
On-site roles are 48% of the ai platform engineer internships listed here. Decide what you can realistically commit to before you start searching so you are not sorting through positions you cannot take. Filter by location and work type on Migrate Mate first to see only the roles that actually fit your situation.
AI Platform Engineer Internships: Frequently Asked Questions
How do I get an ai platform engineer internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. Build a public GitHub portfolio showing end-to-end ML pipeline work, containerized deployments, or infrastructure-as-code projects that recruiters can actually assess. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai platform engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it for ai platform engineer interns is delivering on real project milestones, fitting open headcount on the team, and understanding the return-offer timeline before your internship ends. Position yourself by treating every sprint like a full-time audition without counting on the outcome.
When should I apply for ai platform engineer internships?
Earlier than most students expect. Large tech and cloud employers open summer internship applications the preceding fall, often in September or October. Smaller companies, startups, and co-op programs post much closer to start dates, so openings appear year-round. Checking listings regularly rather than waiting for a single recruiting season means you catch both waves.
Are ai platform engineer internships paid?
Most professional ai platform engineer internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer chooses to disclose it. Unpaid internships exist but are uncommon at technology-focused organizations offering structured, project-based roles.
What should an ai platform engineer internship resume include?
Lead with two or three complete, documented projects, listing the tools and frameworks used and linking directly to the GitHub repository or deployed artifact so reviewers can assess your work firsthand. Add relevant coursework in distributed systems, cloud infrastructure, or ML ops. Keep the resume to one page and place education and projects above any limited work history.
Are there remote ai platform engineer internships?
Yes. Remote and hybrid roles make up 52% of the ai platform engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants from a wider pool, so apply early once you find a role that fits and filter by work type to see those listings without sorting through positions you cannot take.
Can international students get ai platform 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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