Senior AI Transformation Engineer

TE Connectivity India Pvt Ltd; Bengaluru; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

TE Connectivity India Pvt Ltd is seeking an SR AI Transformation Engineer to deliver AI-enabled engineering solutions that leverage engineering data, simulation, CAD/CAE, automation, and digital capabilities. You will lead technical implementation from assessment to deployment across complex workflows.

The role requires hands-on Python scripting, CAD/CAE experience, and strong analytical skills to coordinate with AI, digital teams, and SMEs for scalable AI-enabled engineering transformation.

Qualifications

• Bachelor's degree in Engineering, Computer Science, or related discipline.
• Hands-on experience with CAD/CAE, PLM, engineering data management, or digital engineering workflows.
• Demonstrated Python scripting and engineering workflow automation.
• Experience applying AI, automation, or digital technologies to engineering problems; generative AI/LLMs preferred.
• Assess system interfaces, APIs, data access, integration constraints, and technical limitations.
• Familiarity with engineering data structures and digital engineering workflows.
• Strong analytical and problem‑solving skills.

Responsibilities

• 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 SMEs to define solution approaches.
• Define technical requirements and deployment strategies for approved initiatives.
• Develop prototypes and proofs‑of‑concept to validate feasibility before committing significant resources.
• Lead deployment of AI‑enabled engineering solutions involving data integration and workflow automation.
• Coordinate with AI Hub, DD&T, external resources, and technical specialists as required.
• Drive validation, testing, and deployment activities.

Skills

Analytical thinking

Problem solving

Engineering data management

Education

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

Tools

Python scripting

CAD

CAE/Simulation

PLM

Job description

SR AI TRANSFORMATION ENGINEER 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)

Experience Level Senior Level