Manager I - AI Technology (Medical)

TE Connectivity; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

TE Connectivity is seeking an AI Technology Leader in Bengaluru to shape and scale the Medical BU's AI agenda, translating emerging technologies into secure, high-impact business solutions. You will collaborate with global AI governance, BU leaders, and delivery teams to define priorities and accelerate adoption.

The role demands hands-on leadership, ability to move from PoCs to industrial-scale deployments, and building a strong AI talent pipeline while ensuring ethical and responsible AI

Qualifications

• Graduate or postgraduate in Mechanical/ Electronics engineering (BE or M.Tech).
• Experience in AI architecture, cloud and data platforms, APIs, integration, security, and technology governance.

Responsibilities

• Drive the AI/ML strategy and roadmap, aligning technology investments with business and engineering priorities.
• Lead the development and deployment of AI-powered solutions, from rapid PoCs to scalable, enterprise-grade implementations.
• Partner with engineering, product, and business leaders to identify high-value use cases and accelerate AI adoption across the organization.
• Influence senior stakeholders and navigate ambiguity, balancing innovation speed, business value, security, compliance, and operational excellence.
• Responsible for AI frameworks to ensure secure, reliable, and compliant solutions.
• Build and lead high-performing AI and engineering teams through hiring, coaching, mentoring, and fostering a culture of innovation and continuous learning.
• Apart from AI team, mentor and guide Simulation CoE

Skills

AI strategy

AI deployment

stakeholder management

leadership

compliance & security

Education

BE or M.Tech in Mechanical/Electronics engineering

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 Technology Leader will shape and scale the Medical Business Units AI agenda by translating emerging technologies into practical, secure, and high-impact business solutions. Reporting to the India Medical Site Lead, this leader will work closely with the Global AI Council Lead, BU functional leaders, OneData, TEIS, and delivery teams to define priorities, accelerate adoption, and build reusable AI capabilities across engineering, operations, quality, commercial, and support functions.

THE OPPORTUNITY

This is a high-impact leadership role for a hands-on AI technology leader who can connect strategy with execution. The successful candidate will help the Medical BU unlock productivity, innovation, and speed by guiding technology choices, enabling rapid proof-of-concepts, scaling successful solutions, and developing a strong AI talent pipeline.

Job Requirements

• Drive the AI/ML strategy and roadmap, aligning technology investments with business and engineering priorities.
• Lead the development and deployment of AI-powered solutions, from rapid PoCs to scalable, enterprise-grade implementations.
• Partner with engineering, product, and business leaders to identify high-value use cases and accelerate AI adoption across the organization.
• Influence senior stakeholders and navigate ambiguity, balancing innovation speed, business value, security, compliance, and operational excellence.
• Responsible for AI frameworks to ensure secure, reliable, and compliant solutions.
• Build and lead high-performing AI and engineering teams through hiring, coaching, mentoring, and fostering a culture of innovation and continuous learning.
• Apart from AI team, mentor and guide Simulation CoE

Leadership Expectations

• Serve as a thought leader and trusted advisor on AI strategy, technology transformation, and digital innovation.
• Champion responsible AI practices, ensuring solutions are ethical, transparent, secure, and aligned with organizational values.
• Inspire and motivate teams to deliver breakthrough innovations while maintaining a strong focus on execution excellence and customer value.

What your background should look like

• Graduate or postgraduate (BE or M.Tech) in Mechanical/ Electronics engineering or related engineering discipline
• Strong understanding of AI architecture, cloud and data platforms, APIs, integration, security, and technology governance.

CRITICAL EXPERIENCE

• Experience in AI road mapping, leading AI deployment, in global, matrixed organizations, with a bachelors or masters degree in mechanical, electrical, or a related engineering discipline.
• Demonstrated ability to move from experimentation to enterprise-scale deployment while maintaining compliance and long-term scalability.
• Experience in NPD, mechanical simulation, medical, manufacturing, industrial, or similarly complex environments is preferred.
• Excellent communication and stakeholder management skills, with the credibility to influence across functions and regions.

COMPETENCIES

• Excellent motivational skills: a person with the ability to set and achieve goals and motivate team members to achieve the highest standards of performance in a dynamic fast paced environment.
• Attention to detail and on time delivery
• Excellent judgment, timely and high-quality decision-making skills
• Clear, strategic thinker with the ability to identify, analyze, and solve complex problems.

MOTIVATIONAL/CULTURAL FIT

• Results driven
• Clear and concise communication
• Innovation demeanor
• Problem solving
• Passion for technology

Competencies

SET : Strategy, Execution, Talent (for managers)