AI Platform Engineer (PC Agentic Applications) - Global Future Leaders Program (2027)

Summary

Lenovo is a global technology company developing AI-enabled devices, infrastructure, software, solutions, and services. The AI Platform Engineer will help design, prototype, and scale Agentic AI applications and platform capabilities optimized for PC and hybrid deployment environments, while collaborating with architects, product leaders, researchers, engineering, and security teams.

Responsibilities

• Contribute to the design and development of an Agentic AI platform optimized for PC infrastructure
• Build and prototype AI agents using LLMs, multimodal models, prompt engineering, agent orchestration, RAG, MCP, tool usage, and structured outputs
• Develop scalable AI application frameworks that streamline local and hybrid AI deployments
• Assist in optimizing AI workloads across CPUs and GPUs and contribute to model performance, latency, and cost-efficiency evaluation frameworks
• Support integration of AI solutions into PC-based systems, including model serving pipelines, data flow orchestration, multi-agent workflows, and secure local inference environments
• Collaborate with product managers, senior engineers, and security teams to translate ideas into prototypes, embed safe AI practices, and create technical documentation

Skills

• * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field; recent graduate profile
• * Strong foundation in machine learning fundamentals, NLP or generative AI concepts, and systems programming basics
• * Proficiency in Python and experience building projects involving LLMs, AI agents, or multimodal models
• * Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly
• * Builder mindset, intellectual curiosity about frontier AI, comfort with ambiguity, ownership, and a bias toward execution
• * Currently completing or recently completed a degree from an accredited university (Bachelors, Masters or PhD)
• * Passion for technology, innovation, and continuous learning
• * Demonstrated leadership potential through academic, professional, internship, or community involvement
• * Strong analytical, quantitative, and problem-solving capabilities
• * Excellent communication and collaboration skills, with the ability to influence and work effectively across global teams
• * Ability to think strategically, manage ambiguity, and execute with attention to detail
• * Flexibility to travel as needed (approximately 10-20%)
• * Internship or research experience in AI or machine learning
• * Familiarity with PyTorch, TensorFlow, Hugging Face, prompt engineering, agent frameworks, and GPU or CPU optimization concepts
• * Experience deploying models locally or in hybrid cloud environments
• * Open-source contributions or published research

Qualifications

Must Haves

• * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field; recent graduate profile
• * Strong foundation in machine learning fundamentals, NLP or generative AI concepts, and systems programming basics
• * Proficiency in Python and experience building projects involving LLMs, AI agents, or multimodal models
• * Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly
• * Builder mindset, intellectual curiosity about frontier AI, comfort with ambiguity, ownership, and a bias toward execution
• * Currently completing or recently completed a degree from an accredited university (Bachelors, Masters or PhD)
• * Passion for technology, innovation, and continuous learning
• * Demonstrated leadership potential through academic, professional, internship, or community involvement
• * Strong analytical, quantitative, and problem-solving capabilities
• * Excellent communication and collaboration skills, with the ability to influence and work effectively across global teams
• * Ability to think strategically, manage ambiguity, and execute with attention to detail
• * Flexibility to travel as needed (approximately 10-20%)

Nice to Haves

• * Internship or research experience in AI or machine learning
• * Familiarity with PyTorch, TensorFlow, Hugging Face, prompt engineering, agent frameworks, and GPU or CPU optimization concepts
• * Experience deploying models locally or in hybrid cloud environments
• * Open-source contributions or published research

Benefits

• Cross-functional rotational experiences across Lenovo's business, providing broad exposure and diverse career experiences
• Exposure to senior leaders along with structured leadership development and mentorship
• Accelerated career growth through innovation, continuous learning, and opportunities to influence the future of smarter technology for all
• Travel included for the Leadership Final Interviews at Lenovo's Morrisville, NC campus