JumpWhere Logo
All openings
Unisys

Unisys

1 posting · 1 open role

Company insights coming shortly… We're gathering public signals for Unisys — refresh in a minute.

About Unisys

Unisys is a global technology solutions company that powers breakthroughs for the world’s leading organizations. Our solutions – cloud, AI, digital workplace, logistics and enterprise computing – help our clients challenge the status quo and unlock their full potential. To learn how we have been helping clients push what’s possible for more than 150 years, visit unisys.com and follow us on LinkedIn.

Job posts (1)

Explore Exciting Fresher & Experienced Roles at Unisys

Posted August 31, 2026 · 1 role

AI Engineering Intern

InternshipData / AI / ML
Bengaluru, Bangalore - RGA Tech ParkStudents/Freshers

Skills

AIAI agentsOrchestrationToolingEvaluationGuardrailsProgrammingDebuggingProblem-solvingAI/MLAzureAWSGCPCloud

Qualification

  • 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.
  • Final-year M.Tech students or recent graduates.
  • Ability to work in-office and collaborate closely with a cross-functional team.
  • Nice to have: Public projects that were implemented / GitHub links to showcase work.
  • Nice to have: Exposure to cloud platforms such as Azure, AWS, or GCP.
  • Nice to have: Experience deploying or operating software in enterprise settings.

Skills Required

  • 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.

Roles & 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 our systems robust, maintainable, and deployable at scale.