Airbus

AI for Systems Engineering Intern

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Location
Bengaluru
Work mode
See listing
Experience
Student / Intern
Duration
6 months (from Jan 2027)
Pay
₹30K–50K/mo (Est.)
Type
Internship, AI & ML
Added
13 October 2026

About this role

This internship at Airbus India in Bangalore focuses on using AI to turn an informal, heuristic way of doing systems engineering into a structured, agent-based approach. The intern builds a framework based on pre-defined criteria and tests it on identified Systems of Interest for a specified workflow and deliverable. The work blends systems thinking, software architecture, requirements engineering and verification and validation with AI-driven software development for aerospace. Day to day it involves studying how Airbus teams use their methods, collecting their needs and building tools around them. It is meant to be a six-month internship starting around January 2027, with some flexibility on the date. It suits postgraduate AI/ML students interested in formal methods and digital transformation.

Airbus was hiring for AI for Systems Engineering Intern, an internship based in Bengaluru.

Who can apply: Student / Intern. Duration: 6 months (from Jan 2027). Skills: AI, Agentic workflows, Formal methods, Software development.

This opening has closed (closed on 2026-10-14). Open roles like it are listed on this page and at hirastra.com/jobs.

What you'll do

  • Develop AI models that create structured agentic workflows based on existing ways of working
  • Build tools that apply formal methods and test them on current working practices
  • Study how Airbus teams use the methods and collect their needs
  • Develop a tool that can handle multiple standards and evaluation criteria
  • Partner with cross-functional teams to turn software requirements into technical solutions

What you need

  • MS or Ph.D. in AI/ML with exposure to formal methods and verification
  • Knowledge of AI software development
  • Communication and teamwork skills to translate business needs into technical solutions
  • Awareness of compliance risks and a commitment to act with integrity

Skills

  • AI
  • Agentic workflows
  • Formal methods
  • Software development

"Est." = Hirastra's estimate based on market data, not an official figure.

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