AI Solution Analyst - Global Future Leaders Program (2027)

Lenovo • Morrisville, NC

3d • Hybrid

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 Global Future Leader role, you will act as an AI Solution Analyst. In this role, you will report to the Solutions & Services Group (SSG) Customer Service AI Solution (CSAS) Director, supporting enterprise customers across key global markets. You will join Lenovo’s CSAS team, an innovative organization delivering enterprise-grade, infrastructure-agnostic Agentic AI platforms that transform global customer service operations. In this versatile hybrid position spanning Technical Pre-Sales, R&D Solution Development, and Forward Deployed Engineering (FDE), you will take part in collaborative planning sessions, customer discovery workshops, and solution sprint reviews to master and deploy our award-winning CSAS platform.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related quantitative engineering discipline from an accredited University (recent / fresh graduate).
• Solid hands-on programming proficiency in Python, JavaScript/TypeScript, and SQL, with foundational knowledge of RESTful API design and data integration pipelines.
• Clear understanding of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) concepts.
• Excellent verbal and written English communication skills, with the ability to explain technical AI architectures to both technical engineers and business executives.
• Strong analytical problem-solving mindset with a willingness to operate across customer-facing pre-sales, hands-on coding, and on-site/remote client implementations.
• 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

Nice To Haves

• Exposure to modern AI agent orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or Model Context Protocol (MCP).
• Familiarity with enterprise SaaS developer platforms (e.g., Salesforce, ServiceNow, Zendesk), cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes).
• Internship or project experience involving AI/ML models, Natural Language Processing (NLP), or conversational AI platforms.
• Multilingual skills (e.g., Mandarin) to facilitate collaboration across global R&D hubs and regional delivery teams.
• Flexibility to travel as needed (approximately 10-20%)

Responsibilities

• Support customer-facing technical discussions, configure and deliver live demos, and help articulate CSAS platform capabilities to both technical and business stakeholders.
• Participate in discovery workshops to understand current customer service workflows, identify pain points, and map opportunities for AI-driven transformation.
• Collaborate with the R&D team to refine and extend CSAS platform features based on real-world customer requirements and feedback.
• Work hands-on with customers to configure, integrate, and customize CSAS solutions in on-site or remote deployment scenarios.
• Help design, build, and validate PoCs that demonstrate the value of CSAS in real customer environments.
• Assist in defining, instrumenting, and tracking KPIs that quantify AI impact on customer service performance and business outcomes.
• Capture field insights, performance data, and customer feedback, and channel them back to R&D to guide roadmap, tuning, and continuous improvement.

What This Job Offers

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