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

At TE Connectivity, we believe that data and AI are strategic drivers for future success. We are building a world-class advanced AI team to solve complex strategic problems and deliver topline growth and operational efficiencies across our business units. As a Staff Generative AI Engineer, you will play a crucial role in developing and implementing cutting-edge generative AI solutions to drive innovation and efficiency in our products and processes. 
 

Job Responsibilities

 

Generative AI Development:

 

Design, develop, and implement state-of-the-art generative AI models and algorithms Optimize and fine-tune existing models for specific use cases within TE Connectivity Collaborate with cross-functional teams to identify and prioritize generative AI applications

 

MLOps and Deployment:

 

Develop and maintain efficient MLOps pipelines for generative AI models Ensure smooth integration of generative AI solutions into existing systems and workflows Optimize model performance and scalability for production environments

 

Prompt Engineering

 

Develop and refine prompt engineering techniques to optimize generative AI model outputs Create and maintain a library of effective prompts for various use cases within TE Connectivity Train team members on best practices in prompt engineering and efficient interaction with AI model

Technical Skills:

 

Demonstrated expertise in prompt engineering for large language models (LLMs) and other generative AI systems Experience with prompt optimization techniques, including chain-of-thought prompting, few-shot learning, and instruction fine-tuning Familiarity with prompt engineering tools and frameworks

 

Prompt Engineering Proficiency:

 

Proven track record of improving AI model performance through advanced prompt engineering techniques Experience in developing prompt strategies for diverse applications, from natural language processing to multimodal AI systems Ability to create and implement prompt templates that ensure consistent and high-quality AI-generated outputs  Job Requirements

 

Education and Experience:

 

Master's or Ph.D. in Computer Science, Machine Learning, or a related field 8+ years of experience in AI/ML, with a strong focus on generative AI technologies Proven track record of developing and deploying generative AI solutions in production environments 

 

Technical Skills:

 

Expert-level proficiency in Python and relevant AI/ML frameworks (e.g., PyTorch, TensorFlow) In-depth knowledge of generative AI models (e.g., GPT, DALL-E, GANs, VAEs,Claude) Strong background in natural language processing, computer vision, or multimodal AI Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools 

 

Problem-Solving and Innovation:

 

Excellent problem-solving skills with the ability to tackle complex AI challenges Innovative mindset with a passion for exploring new AI technologies and applications
 

Communication and Collaboration:

 

Strong communication skills to explain complex AI concepts to both technical and non-technical stakeholders Ability to work effectively in cross-functional teams and mentor junior AI engineers 
  Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork