Unisys AI Engineering Intern Recruitment 2026 | B.Tech AI/ML | Bangalore
Unisys is hiring for an AI Engineering Intern position in Bangalore, Karnataka. This opportunity is specifically aimed at candidates currently pursuing their final year of B.Tech in Artificial Intelligence & Machine Learning (AI/ML) and expected to graduate in 2027 or 2028. The internship offers hands-on exposure to building AI systems, developing AI agents and taking prototypes toward enterprise-ready solutions.
This is a 9-month full-time internship program designed for candidates who prefer practical engineering work over purely theoretical learning. Interns will collaborate with experienced domain experts, work on AI pipelines, build reliable AI-agent systems and contribute to engineering practices focused on maintainability, testing and enterprise deployment.
📌 Unisys AI Engineering Intern – Job Details
| Company | Unisys |
| Job Role | AI Engineering Intern |
| Job ID | REQ574279 |
| Job Type | Full Time |
| Program Duration | 9 Months |
| Work Mode | In-Office |
| Education | B.Tech in Artificial Intelligence & Machine Learning (AI/ML) |
| Eligible Graduation | 2027 / 2028 |
| Experience | Internship / Student Opportunity |
| Salary / Stipend | Not officially specified |
About the AI Engineering Intern Role
The AI Engineering Intern will work closely with domain experts to transform existing AI pipelines into functional prototypes and eventually into production-ready solutions suitable for enterprise environments. The role has a strong builder-oriented focus, meaning interns are expected to contribute to implementation, debugging, reliability and deployment rather than only studying AI concepts.
A major area of the role is working with AI agents and their supporting harnesses. This can involve areas such as orchestration, tooling, evaluation and guardrails. Candidates will also contribute to engineering practices that help AI systems remain robust, maintainable and deployable at scale.
Key Responsibilities
- Collaborate with experienced domain experts to convert existing AI pipelines into functional prototypes.
- Take promising prototypes through to production-ready projects suitable for enterprise deployment.
- Build and iterate on AI agents and the supporting harnesses that make them reliable and testable.
- Contribute to engineering practices that keep systems robust, maintainable and deployable at scale.
- Work hands-on with AI engineering projects rather than focusing only on theoretical concepts.
- Apply practical debugging and problem-solving approaches while developing AI systems.
Required Eligibility & Skills
- Candidates must be pursuing their final year of B.Tech in Artificial Intelligence & Machine Learning (AI/ML).
- Candidates are expected to graduate in 2027 or 2028.
- Solid understanding of how to build AI agents and the harnesses around them.
- Understanding of AI-agent concepts such as orchestration, tooling, evaluation and guardrails.
- Strong programming fundamentals.
- Hands-on and empirical approach to debugging and problem-solving.
- Ability to work in-office.
- Ability to collaborate closely with a cross-functional team.
⭐ Nice-to-Have Skills
- Public projects that demonstrate practical implementation skills.
- GitHub links showcasing relevant AI or software projects.
- Exposure to cloud platforms such as Azure, AWS or GCP.
- Experience deploying or operating software in enterprise environments.
What You Can Learn During the Internship
This internship can provide valuable exposure to the engineering side of modern AI. Instead of stopping at model development, interns can learn how AI pipelines are converted into usable software, how AI agents are evaluated and made reliable, and how engineering practices influence enterprise deployment.
The experience can be particularly valuable for students who want to pursue careers such as AI Engineer, Machine Learning Engineer, Generative AI Engineer, AI Application Developer, AI Agent Engineer or Software Engineer. Building public projects and maintaining a strong GitHub portfolio can also help demonstrate practical ability during future hiring processes.
📚 Recommended AI & Programming Resources
Candidates preparing for AI engineering internships should strengthen Python programming and data science fundamentals. You can use our Python Course and Notes and Data Science Complete Course to build relevant foundations.
🎯 Interview Preparation
For an AI engineering internship, prepare Python programming, machine learning fundamentals, AI-agent concepts, problem-solving, project discussions and questions around your GitHub work. Candidates can also review these AI/ML Engineer Interview Questions before the selection process.
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Students looking for similar opportunities can explore our latest AI, ML and technology internships. Candidates who are also searching for entry-level software opportunities can browse our latest IT jobs for freshers. You can also explore government job opportunities for additional career options.
💰 AI Engineering Internship Stipend Insights
Official stipend: Unisys has not specified the stipend or compensation in the provided job description. As a general market reference only, technical AI/ML internships in major Indian technology hubs can vary widely, often depending on the student’s skills, organization and internship structure. Candidates should treat any unofficial estimate only as a market indication and rely on the official Unisys offer for the exact stipend and benefits.
How to Apply for Unisys AI Engineering Intern Recruitment 2026
- Click the official Unisys application link below.
- Review the AI Engineering Intern requirements carefully.
- Confirm that you are pursuing your final year of B.Tech in AI/ML and are expected to graduate in 2027 or 2028.
- Prepare an updated resume highlighting AI/ML coursework, projects, internships and programming skills.
- Add relevant GitHub or public project links if available.
- Complete the online application with accurate academic and personal information.
- Submit the application and monitor your registered email for further communication.
Frequently Asked Questions
Q1. Who is eligible for the Unisys AI Engineering Intern role?
Candidates must be pursuing their final year of B.Tech in Artificial Intelligence & Machine Learning (AI/ML) and are expected to graduate in 2027 or 2028.
Q2. How long is the Unisys AI Engineering Internship?
The provided job description states that this is a 9-month Internship Program.
Q3. Is the Unisys AI Engineering Intern position remote?
No. Candidates are required to be able to work in-office. The listed location is Bangalore, Karnataka, India.
🚀 Final Career Tip
This Unisys opportunity is especially relevant for final-year AI/ML students who want to move beyond academic assignments and work on practical AI engineering problems. Before applying, build at least one strong AI project, maintain a presentable GitHub profile, revise Python and machine learning fundamentals, and understand how AI agents, evaluation, orchestration and deployment work. Practical evidence of what you have built can make your profile much stronger for AI engineering internships and future full-time roles.
Disclaimer: Internship availability, eligibility, selection requirements, stipend and other hiring conditions may change. Candidates should verify the latest information on the official Unisys careers page before applying.