SR AI TRANSFORMATION ENGINEER

TE Connectivity Ltd.; Bengaluru; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

TE Connectivity Ltd. is seeking an AI Transformation Engineer to deliver AI-enabled engineering solutions leveraging data, CAD/CAE, and automation. You will drive prototypes, coordinate with AI Hub and engineering teams, and lead deployment of AI-enabled workflows across systems.

The role requires hands-on Python scripting, engineering data management familiarity, and a passion for AI-driven transformation in engineering environments. Bengaluru-based on-site role with global impact.

Qualifications

• Bachelor's degree in Engineering, Computer Science, or related discipline.
• Hands-on experience with CAD/CAE, PLM, or engineering data management.
• Experience with Python scripting and engineering workflow automation.

Responsibilities

• Identify opportunities to leverage AI within engineering data, simulation, design automation and workflows.
• Evaluate data availability, quality, integration needs and automation opportunities.
• Define technical requirements and deployment strategies for AI initiatives.
• Develop prototypes and proof-of-concepts to validate feasibility.
• Lead deployment of AI-enabled engineering solutions involving data integration and automation.
• Coordinate with AI Hub, DD&T and external resources as required.
• Promote adoption of AI-enabled engineering methods and scalable approaches.

Skills

Python scripting

Engineering workflow automation

Analytical thinking

Problem solving

AI-enabled engineering transformation

Education

Bachelor's degree in Engineering, Computer Science, or related discipline

Master's degree preferred

Tools

CAD

CAE/Simulation

PLM

Engineering Data Management

Digital Engineering Workflows

Job description

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Overview

The AI Transformation Engineer - Engineering Data & Automation is responsible for delivering AI-enabled engineering solutions that leverage engineering data, simulation, CAD/CAE environments, automation, and advanced digital capabilities. The role focuses on high-complexity initiatives requiring structured engineering data, workflow integration, automation, or technical coordination across multiple systems.

This position leads the technical implementation of assigned AI initiatives from assessment through pilot, validation, deployment, and adoption.

Key Responsbilities

• Identify opportunities to leverage AI within engineering data, simulation, CAD/CAE, design automation, and technical workflows.
• Evaluate data availability, data quality, integration requirements, and automation opportunities.
• Collaborate with AI specialists, digital teams, and engineering subject matter experts to define solution approaches.
• Define technical requirements and deployment strategies for approved initiatives.

AI Solution Development and Deployment

• Develop prototypes and technical proof-of-concepts to validate solution feasibility before committing significant development resources.
• Lead deployment of AI-enabled engineering solutions involving data integration, workflow automation, and technical systems.
• Coordinate with AI Hub, DD&T, external development resources, and technical specialists as required.
• Development and deployment of AI agents, workflow automation solutions, and engineering productivity tools.
• Drive validation, testing, and deployment activities.

Engineering Automation & Enablement

• Promote adoption of AI-enabled engineering methods.
• Identify opportunities to improve engineering efficiency through automation and reusable solutions.
• Coach engineering teams on practical AI applications within engineering workflows.
• Support development of scalable approaches that may be leveraged across multiple engineering teams.

Experience & Qualifications

• Bachelor's degree in Engineering, Computer Science, or related discipline.
• Hands-on experience with one or more engineering technology domains such as CAD, CAE/simulation, PLM, engineering data management, or digital engineering workflows.
• Demonstrated hands-on experience with Python scripting and engineering workflow automation.
• Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.
• Assess system interfaces, APIs, data access, integration dependencies, and technical constraints.
• Familiarity with engineering data structures and digital engineering workflows.
• Strong analytical and problem-solving skills.
• Passion for AI-enabled engineering transformation

Desired Skills

• Bachelor's degree in Engineering, Computer Science, or related discipline.
• Hands-on experience with one or more engineering technology domains such as CAD, CAE/simulation, PLM, engineering data management, or digital engineering workflows.
• Demonstrated hands-on experience with Python scripting and engineering workflow automation.
• Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.
• Assess system interfaces, APIs, data access, integration dependencies, and technical constraints.
• Familiarity with engineering data structures and digital engineering workflows.
• Strong analytical and problem-solving skills.
• Passion for AI-enabled engineering transformation.

What Your Background Should Look Like

Generally requires Bachelors degree in appropriate field with a minimum of 5 years of progressively responsible professional level experience; Masters degree or higher or local equivalent may be preferred at this level

Competencies

SET : Strategy, Execution, Talent (for managers)