SR AI TRANSFORMATION ENGINEER
TE Connectivity · Bengaluru · onsite · Posted 21d ago
Undisclosed5–10 yrsfulltimeSourced from
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About this role
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
KEY RESPONSBILITIES:
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
Competencies
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.
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, DDT, 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:
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)
Sourced from naukri
Skills
data qualityAutomationScriptingPLMapissolution developmentpython scriptingCADdesign automationData StructuresdeploymentSubject MatterDevelopment And DeploymentPythonData IntegrationData ManagementGenerative AiArtificial Intelligence
About TE Connectivity
TE Connectivity
Electronics Manufacturing
1.2k+
employees
1941
85 years old
Bangalore / Bengaluru, Karnataka
India
About
TE Connectivity specializes in connectivity and sensing solutions, emphasizing sustainability and reliability to address the needs of various industries.
Industries
Electronics ManufacturingInternetTelecomElectronics
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1,327 reviews
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Culture
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