Unisys AI Engineering Intern 2026 | M.Tech AI/ML | Bangalore — Apply Now

Unisys AI Engineering Intern 2026 – full job details

Unisys describes this as a builder-focused role, and the wording is worth taking literally. You will work hands-on with domain experts to turn AI pipelines into working prototypes and then into production-ready solutions that can be deployed inside enterprise environments. The listing states plainly that you will spend your time designing, implementing and hardening real systems rather than working from theory.

That distinction matters. Plenty of AI internships have you reading papers or tuning a notebook. The Unisys AI Engineering Intern 2026 role is about shipping: taking something that works on a laptop and making it reliable enough for a large enterprise to run in production.

The role is in-office in Bangalore, and Unisys asks for the ability to collaborate closely with a cross-functional team on site.

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 the engineering practices that keep systems robust, maintainable and deployable at scale.

Unisys AI Engineering Intern 2026 eligibility criteria

• Currently pursuing or recently completed an M.Tech in Computer Science, AI/ML or a related field.
• Final-year M.Tech students or recent graduates.
• Solid understanding of how to build AI agents and the harnesses around them — orchestration, tooling, evaluation and guardrails.
• Strong programming fundamentals with a hands-on, empirical approach to debugging and problem-solving.
• Ability to work in-office and collaborate closely with a cross-functional team.

Nice-to-haves that lift an application: public projects or GitHub links that showcase your work; exposure to cloud platforms such as Azure, AWS or GCP; and experience deploying or operating software in enterprise settings.

Be honest with yourself on the degree requirement. Unisys names M.Tech in two separate places on this requisition and mentions no other qualification, so a B.Tech application is unlikely to clear the first screen for the Unisys AI Engineering Intern 2026 opening.

Selection process & tips

Unisys runs its hiring on Workday, so expect an online application, a resume screen, one or two technical conversations with the engineering team and a final discussion. Unisys has not published the stages for this requisition, so treat that as the usual shape rather than a confirmed process.

The single strongest thing you can do is show working code. The listing explicitly asks you to list public projects and GitHub links, which is a direct invitation — take it. An agent you actually built, with an evaluation harness and some guardrails, will say more than any coursework line. Be ready to explain how you tested it, what failed, and what you changed as a result; the phrase “empirical approach to debugging” appears in the requirements for a reason.

Brush up on agent orchestration concepts too — tool calling, retries, evaluation loops and guardrails. Those four words in the job description tell you exactly where the technical conversation will go.

How to apply for the Unisys AI Engineering Intern 2026

Applications for the Unisys AI Engineering Intern 2026 go through the official Unisys careers portal on Workday. Open requisition REQ574280, click Apply, create or sign in to your candidate account, upload an updated resume and submit. Put your GitHub link in the resume header where a recruiter will see it in the first five seconds.

Open the requisition on the official Unisys careers page. There is no application fee at any stage. If you are a B.Tech candidate, our Unisys Associate Engineer 2026 post covers a route that does not require a master’s degree.

About Unisys

Unisys is a global technology solutions company working across digital workplace services, cloud and infrastructure, enterprise computing and business process solutions. It serves clients in banking, government, travel and transportation, and commercial sectors, with a long history in secure large-scale computing. Its India delivery centres include Bangalore, Hyderabad, Pune and Chennai. Unisys states that it is proud to be an equal opportunity employer considering all qualified applicants without regard to caste, citizenship, disability, gender, religion or any other category protected by law.