Principal Architect - Data Science, Machine Learning & Artificial Intelligence

About TE Connectivity

TE Connectivity Ltd. is a global leader in technology and manufacturing, valued at $17.2 billion. With over 75 years of experience, the company develops connectivity and sensor solutions designed for the most demanding environments across sectors such as transportation, medical, energy, data communications, and industrial applications. Employing around 89,000 people globally including 8,000+ engineers, TE Connectivity operates in nearly 140 countries, committed to ensuring every connection counts.

Role Overview

The Principal Data Scientist plays a pivotal role in guiding TE’s enterprise-wide AI strategy and promoting the adoption of advanced AI technologies. This senior technical leadership position involves working closely with business and engineering teams to deliver impactful AI-driven innovations that improve engineering, manufacturing, supply chain, commercial, and operational processes.

Key Responsibilities

• Establish AI technical direction, architecture, and best practices across enterprise initiatives.
• Collaborate with leadership to identify high-value AI opportunities and influence the overall AI strategy and technology roadmap.
• Continuously explore and prototype emerging AI techniques such as Agentic AI, Causal AI, Neuro-symbolic AI, World Models, Foundation Models, and other evolving paradigms.
• Provide expert guidance for distinguishing meaningful AI innovations from hype and translating research into practical solutions.
• Design and implement scalable AI solutions including predictive modeling, natural language processing, computer vision, retrieval-augmented generation (RAG), AI agents, optimization methods, and enterprise AI platforms.
• Lead production AI system development, ensuring best practices for model governance, evaluation, deployment, and Responsible AI principles.
• Mentor data science and AI engineering teams fostering innovation and technical excellence.
• Conduct architecture reviews and standardize AI engineering practices while keeping TE’s AI capability at the cutting edge.

Candidate Profile

• Educational qualifications: BE, Master’s or PhD in Computer Science, AI, Machine Learning, Data Science, or related disciplines.
• Minimum of 12 years of experience in AI, machine learning, or data science with proven leadership in technical roles.
• Strong track record of delivering AI solutions at enterprise scale with measurable business impact.
• Expertise in machine learning, deep learning, NLP, computer vision, optimization, and generative AI technologies.
• Hands-on experience with large language models (LLMs), retrieval-augmented generation, AI agents, modern AI frameworks and cloud-based AI platforms.
• Proficient in Python programming and experienced with AI/ML frameworks and MLOps or LLMOps processes.
• Keen interest in emerging AI paradigms such as agentic AI, causal reasoning, neuro-symbolic approaches, world modeling, and advanced AI reasoning architectures.
• Ability to effectively communicate cutting-edge AI technologies and their business relevance to both technical teams and executives.
• Preferred but not mandatory: publications, patents or open-source AI contributions; experience in creating enterprise AI platforms or reusable AI frameworks; background in manufacturing or industrial AI applications.

Eligibility and Educational Requirements

This opportunity is open to candidates holding a Bachelor of Engineering (B.E.) or Bachelor of Technology (B.Tech) degree in any specialization.