AI Engineer

Lenovo is looking for an AI Engineer to design, develop, and implement AI/ML and Generative AI solutions that support business process improvements and digital transformation. This onsite role in Morrisville, NC focuses on building AI applications and deploying models and data pipelines, while also helping integrate automation capabilities across enterprise systems.

What you’ll do

• Design, develop, and implement AI/ML and Generative AI solutions to address business challenges.
• Support Intelligent Process Automation (IPA), Robotic Process Automation (RPA), and workflow automation implementations.
• Build and deploy AI applications, intelligent agents, models, and data pipelines.
• Collaborate with business and technology teams to identify opportunities for AI-driven innovation and process improvement.
• Integrate AI solutions with enterprise applications, data platforms, and existing business systems.
• Monitor and improve AI solutions to enhance accuracy, reliability, and efficiency.
• Explore emerging AI technologies and identify opportunities to improve productivity and business operations.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• Entry-level role with 0–2 years of relevant experience; recent graduates are encouraged to apply.
• Foundational knowledge of Python programming and AI/ML concepts.
• Familiarity with Generative AI, Large Language Models (LLMs), and AI applications.
• Basic understanding of APIs, data pipelines, and software development principles.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate effectively with cross-functional teams.

Technologies you may work with

• Python, Artificial Intelligence, AI/ML, Generative AI, Large Language Models (LLMs)
• Intelligent Process Automation (IPA), Robotic Process Automation (RPA), AI agents
• APIs, data pipelines, workflow automation
• TensorFlow, PyTorch, LangChain, RPA tools
• AWS, Azure, Google Cloud

Preferred qualifications

• Internship, academic project, or research experience involving AI/ML development.
• Familiarity with TensorFlow, PyTorch, LangChain, or similar frameworks.
• Exposure to RPA tools, workflow automation, or AI agents.
• Basic knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with AI projects, automation solutions, or process improvement initiatives.

Location: Morrisville, NC, United States of America (onsite). Education: Bachelor’s or Master’s degree.