What success looks like in this role:

About the role

We're looking for an AI Engineering Intern to join our team and work hands-on with our domain experts to turn AI pipelines into working prototypes and production-ready solutions deployable in enterprise environments. This is a builder-focused role: you'll spend your time designing, implementing, and hardening real systems rather than working from theory.

What you'll do

• 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 our systems robust, maintainable, and deployable at scale

What we're looking for

• Solid understanding of how to build AI agents and the harnesses around them (orchestration, tooling, evaluation, guardrails)
• Strong programming fundamentals and a hands-on, empirical approach to debugging and problem-solving
• Currently pursuing or recently completed an M.Tech in Computer Science, AI/ML, or a related field
• Ability to work in-office and collaborate closely with a cross-functional team
• Its a 9 month Internship Program.

Nice to have

• List Public projects that were implement / GitHub links to showcase work.
• Exposure to cloud platforms such as Azure, AWS, or GCP
• Experience deploying or operating software in enterprise settings

You will be successful in this role if you have:

Candidates must be pursuing their final year of B.Tech in Artificial Intelligence & Machine Learning (AI/ML) and expected to graduate in 2027/2028.

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.

Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.