AI Solution Analyst - Global Future Leaders Program (2027)

Why Work at Lenovo

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Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Global Future Leaders Program: Start Strong. Lead Early.

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.

What You Can Expect

• Cross-functional rotational experiences across Lenovo's business, providing broad exposure and diverse career experiences
• Meaningful business impact from day one through strategic projects and real-world challenges
• Exposure to senior leaders along with structured leadership development and mentorship
• Collaboration with global teams and stakeholders across one of the world's leading technology companies
• Accelerated career growth through innovation, continuous learning, and opportunities to influence the future of smarter technology for all

In This Global Future Leader role, You will act as an AI Solution Analyst

Role Overview
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.

What You’ll Do

• Technical Pre-Sales & Live Demos: Support customer-facing technical discussions, configure and deliver live demos, and help articulate CSAS platform capabilities to both technical and business stakeholders.
• Customer Workflow Discovery: Participate in discovery workshops to understand current customer service workflows, identify pain points, and map opportunities for AI-driven transformation.
• R&D & Platform Enhancement: Collaborate with the R&D team to refine and extend CSAS platform features based on real-world customer requirements and feedback.
• Forward Deployed Engineering (FDE): Work hands-on with customers to configure, integrate, and customize CSAS solutions in on-site or remote deployment scenarios.
• Proof of Concept (PoC) Execution: Help design, build, and validate PoCs that demonstrate the value of CSAS in real customer environments.
• KPI Instrumentation & Value Tracking: Assist in defining, instrumenting, and tracking KPIs that quantify AI impact on customer service performance and business outcomes.
• Field-to-R&D Feedback Loop: Capture field insights, performance data, and customer feedback, and channel them back to R&D to guide roadmap, tuning, and continuous improvement.

What You’ll Learn

• How an enterprise-grade, agentic AI customer service platform is designed, sold, customized, and deployed across global customers.
• How to translate customer workflows and business problems into AI-driven architectures, PoCs, and production implementations.
• How to work at the intersection of technical pre-sales, software engineering, and forward deployed engineering in a fast-moving AI environment.
• How to communicate AI and LLM architectures clearly to executives, business stakeholders, and technical teams.
• How to instrument, measure, and communicate AI-driven value using KPIs tied to customer service operations and business impact.

Job Requirements: Must Have

• 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).
• Core Software Engineering: Solid hands-on programming proficiency in Python, JavaScript/TypeScript, and SQL, with foundational knowledge of RESTful API design and data integration pipelines.
• AI & LLM Foundations: Clear understanding of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) concepts.
• Communication & Storytelling: Excellent verbal and written English communication skills, with the ability to explain technical AI architectures to both technical engineers and business executives.
• Adaptability & Drive: Strong analytical problem-solving mindset with a willingness to operate across customer-facing pre-sales, hands-on coding, and on-site/remote client implementations.

Nice to Have

• 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.

GLF Program Requirements

• 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%)

North America Hiring Time Line Fall 2026

• Application Timeline: September 1st through Oct 23rd
• Leadership Assessments: Sept-Oct: (Post resume review, top candidates will selected to complete a Leadership Skills Assessment via SHL (Vendor). NOTE: By applying to this role, if selected for next step, you agree for Lenovo to share your first/last name and email with SHL. 
• North America LIVE CASE Interview (Virtual/Teams Setting): Oct 22nd-24th 
• Leadership Final Interviews LIVE @Lenovo Campus: November 12th-13th @ Lenovo, Morrisville, NC (In Person/Travel Included)
• Offers: December
• Onboarding: Spring/Summer 2027
• Search Roles: GFL26.27 (Search GFL roles in Jobs.lenovo.com using this code)

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