AI Engineer

About The Role

Lenovo is seeking a motivated and innovative AI Engineer to support the development and implementation of AI-powered solutions that improve business processes, increase efficiency, and drive digital transformation. This role focuses on leveraging Artificial Intelligence, Generative AI, and intelligent automation to enhance business operations and employee experiences.

Key Responsibilities

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

Requirements & Tech Stack

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• 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.

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.