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

Lenovo • Morrisville, NC

7d • Onsite

About The Position

The Lenovo Global Future Leaders Program is a highly selective program designed to develop Lenovo's next generation of business and technology leaders. Created for exceptional graduates, the program provides accelerated development opportunities for individuals ready to grow their careers and make an impact at one of the world's leading technology companies. As a Global Future Leader, you'll gain hands-on experience through challenging assignments and rotational opportunities across Lenovo. You'll collaborate with teams and leaders around the world, building a broad understanding of our organization while developing the skills needed to create meaningful impact. During your first three years, you'll participate in cross-functional experiences, strategic projects, leadership development, and mentorship opportunities designed to accelerate your growth. From day one, you'll take on meaningful work, gain exposure to senior leaders, and help drive innovative solutions that deliver smarter technology for all. We're looking for ambitious problem-solvers, innovative thinkers, and future leaders who are energized by technology, embrace new challenges, and are eager to make an impact.

In this role, you will help build the next generation of Agentic AI applications on PC infrastructure, working alongside senior architects, product leaders, and AI researchers. You will design, prototype, experiment, and scale AI platform capabilities optimized for PC and hybrid deployment environments.

Requirements

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level