Artificial_Intelligence_For_Systems_Engineering_Intern

Job Description:

Qualifications:

Only candidates with MS/ Ph.D. in A.I./M.L. with exposure to application on formal Methods and Verification

Job Description - Agentic A.I. Development for Systems Engineering

We are looking for an AI Intern to develop a framework using A.I. to transform unstructured heuristic approach to structured Agentic approach based on certain pre-defined criteria. Test this structured approach on identified Systems of Interest for a specified workflow and deliverable..

This role combines systems thinking, logical thinking, software architecture, requirements engineering, Verification & Validation techniques with AI to accelerate innovation through A.I. driven software development in the aerospace industry.

This is a great opportunity for a candidate who wants to gain hands-on experience in digital transformation initiatives while contributing to meaningful business outcomes.

Ideally, this is a 6 months internship and it should start in January 2027(date subject to flexibility).

Key Responsibilities

Core Technical Functions

• Develop AI models to create structured agentic workflows by understanding existing ways of working
• Develop tools that can adopt formal methods and test them on existing ways of working
• Conduct studies on how teams in Airbus operate the methods, collect their needs and develop the tool that can handle multiple standards and evaluation criteria.

Implementation & Collaboration

• Partner with cross-functional teams to translate software requirements into technical solutions.
  
  

Required Skills and Expertise

• Knowledge on AI
• Software development
• Communication and teamwork for translating business needs into technical solutions.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus India Private Limited

Employment Type:

Internship

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Experience Level:

Student

Job Family:

Support to Management <JF-FA-ES>

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