Marsh Internship 2026 – AI Native Intern, 2027 Batch | Pune
Marsh is offering an AI-focused technology internship in Pune for eligible students graduating in 2027. The opportunity, listed as Interns – Applications Development on Marsh Careers, focuses on developing and supporting AI-enabled solutions for insurance broking and employee benefits. Candidates interested in artificial intelligence, machine learning, prompt engineering and application development can explore this opportunity.
The role is listed under Job ID R_366607 and is based at Panchshil Avenue, Kalyani Nagar, Pune. According to the supplied job details, applicants must be pursuing a B.E./B.Tech degree in Computer Science, Information Technology or a related field and have at least 60% aggregate. The work arrangement is hybrid, with at least three days per week in the office. The internship stipend has not been officially disclosed.
Quick Job Snapshot
| Company | Marsh |
| Role | AI Native Intern – Applications Development |
| Job ID | R_366607 |
| Qualification | B.E./B.Tech in Computer Science, Information Technology or a related field |
| Experience | Internship opportunity for eligible students |
| Eligible Batch | 2027 graduates |
| Academic Requirement | Minimum 60% aggregate |
| Stipend | Not officially disclosed |
| Job Type | Internship |
| Location | Panchshil Avenue, Kalyani Nagar, Pune |
| Work Mode | Hybrid; at least 3 days per week in office |
Role Overview
The Marsh AI Native Intern opportunity involves contributing to AI-enabled applications that support the company’s Insurance Broking and Employee Benefits businesses. Interns may work with modern programming languages, AI/ML concepts and prompt engineering while collaborating with cross-functional teams.
The supplied description uses the title AI Native Intern, while the careers posting is titled Interns – Applications Development. The precise project assignment and day-to-day responsibilities will depend on the team. Candidates should review the official posting for the latest details before applying.
Responsibilities
- Help design, build, integrate and support AI-enabled business solutions.
- Develop and refine prompts to improve the quality and usefulness of AI-generated outputs.
- Check AI responses for accuracy, relevance and consistency.
- Participate in different stages of the solution development lifecycle.
- Collaborate with cross-functional teams on application development tasks.
- Document technical decisions and explain the reasoning behind implementation choices.
- Use modern programming languages, development tools and AI technologies as required by the assigned project.
Required Skills and Eligibility
- Qualification: B.E./B.Tech in Computer Science, Information Technology or a related discipline.
- Eligible batch: Students graduating in 2027.
- Academic cutoff: At least 60% aggregate, according to the supplied job details.
- Programming: Practical familiarity with at least one modern programming language.
- AI/ML knowledge: A good understanding of fundamental artificial intelligence and machine learning concepts.
- Prompt engineering: Familiarity with writing, testing and improving prompts is beneficial.
- Problem-solving: Critical thinking, analytical ability and an interest in evaluating AI outputs.
- Adaptability: Willingness to learn new technologies, tools and development practices.
- Work location: Ability to attend the Pune office at least three days per week under the stated hybrid arrangement.
The 2027 graduation year, qualification, academic cutoff and office attendance expectations are important filters in the supplied listing. Confirm how aggregate marks are calculated and whether any additional eligibility conditions apply on the official careers page.
Marsh Internship 2026 Stipend
The official stipend for this internship has not been disclosed. The supplied information does not provide a reliable, verified stipend figure for this specific role in Pune.
An older campus notice reportedly mentioned ₹3.5 LPA for full-time trainee software engineer positions. That figure relates to a different role and earlier recruitment cycle, so it should not be treated as the stipend or compensation for this internship.
- Internship stipend: Not disclosed.
- Reliable stipend estimate: Not available from the supplied details.
- Recommendation: Ask the recruitment team about the monthly stipend, internship duration, working arrangements and any conversion opportunities before accepting an offer.
Why Consider This Internship?
- Opportunity to gain practical exposure to AI-enabled application development.
- Potential experience with prompt engineering and evaluating AI-generated responses.
- Exposure to technology projects supporting insurance broking and employee benefits.
- Experience collaborating with cross-functional teams and documenting technical decisions.
- A useful opportunity for students who want to explore AI engineering and software development careers.
Recommended Learning Resources
- Python Course and Notes – Practise programming fundamentals and build small applications.
- Data Science Complete Course – Review data handling and introductory machine learning concepts.
- Full Stack Developer Course – Understand how applications are developed and integrated.
Interview Preparation
Prepare to explain your programming knowledge, academic projects and understanding of AI/ML. The selection stages listed below are possible preparation areas based on the supplied description, not a verified official selection schedule.
- Revise Python or another programming language you have used in projects.
- Understand supervised and unsupervised learning, overfitting, precision and recall.
- Practise prompt engineering using role instructions, examples and structured outputs.
- Build a small AI application and test its outputs against expected answers.
- Prepare to explain how you check AI-generated information for accuracy and reliability.
- Learn basic examples of AI applications in insurance, such as document extraction and claims support.
- Prepare a concise self-introduction and be ready to discuss your contribution to each project on your resume.
You can also practise using this self-introduction for interview guide.
Possible Selection Process
The exact selection process for Job ID R_366607 has not been confirmed in the supplied information. Candidates can prepare for the following possible stages, but should follow the actual instructions sent by Marsh:
- Online application through Marsh Careers.
- Resume screening for graduation year, academic eligibility and relevant skills.
- A possible online assessment covering aptitude, programming or AI fundamentals.
- Potential technical discussion about projects, AI/ML concepts and prompt design.
- HR discussion and communication of the final decision.
Do not assume that every stage will be included. The recruitment team may use a different process.
Documents Required
- Updated resume highlighting programming, AI/ML and relevant academic projects.
- Semester mark sheets or academic records showing the required aggregate.
- College ID or bonafide certificate confirming student status and expected graduation year.
- Government-issued photo identification, if requested.
- Any additional documents specified in the Marsh application or recruitment communication.
Keep your academic details accurate and ensure that your resume clearly describes your projects, technologies used and individual contributions.
How to Apply for Marsh Internship 2026
- Open the official Marsh Careers posting for Interns – Applications Development, Job ID R_366607.
- Review the location, graduation-year requirement, academic cutoff and hybrid work expectations.
- Click Apply and create an account or sign in to your Marsh Careers account.
- Complete the application form with accurate personal, educational and contact information.
- Upload your updated resume and any other documents requested by the portal.
- Review your application and submit it through the official careers website.
- Monitor your registered email for assessment invitations and recruitment updates.
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Frequently Asked Questions (FAQs)
1. Who is eligible for the Marsh AI Native Intern opportunity?
According to the supplied details, the role is for 2027 graduates pursuing B.E./B.Tech in Computer Science, Information Technology or a related field, with at least 60% aggregate. Applicants should confirm the full eligibility criteria on the official Marsh Careers posting.
2. What is the stipend for the Marsh Internship 2026?
The stipend for this specific internship has not been officially disclosed in the supplied information. Candidates should ask the recruitment team for the confirmed stipend and internship terms.
3. Is the Marsh AI Native Intern role remote or hybrid?
The supplied listing describes the role as hybrid, requiring at least three days per week in the Pune office at Panchshil Avenue, Kalyani Nagar. Confirm the current arrangement with Marsh before applying.
If you are a 2027 engineering student interested in AI, prompt engineering and application development, review the official eligibility conditions and apply through Marsh Careers. Share this opportunity with classmates who may qualify, and check our latest job and internship updates for more openings.
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