Sr. AI Solutions Sales Specialist

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 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).

Description and Requirements

Key Responsibilities

Experience from AI Solutioning Background is very relevant and helpful for this role

1. AI Solutions Sales & Consultative Engagement

• Engage with enterprise customers to understand their AI transformation goals and position Lenovo's AI hardware, software, and services portfolio as tailored solutions.
• Translate complex business needs into solution proposals that leverage Generative AI, RAG, and Agentic AI technologies.
• Collaborate closely with internal architecture and engineering teams (e.g., Nixon's team) to design the appropriate end-to-end AI infrastructure.
• Conduct customer workshops, proofs-of-concept (POCs), and demos to demonstrate Lenovo's AI capabilities and value.
• Serve as a trusted AI advisor to C-level executives, positioning Lenovo as a strategic AI innovation partner.

2. Sales Leadership & Go-to-Market Execution

• Identify and pursue new AI sales opportunities through account-based strategies and ecosystem partnerships.
• Drive pipeline creation and deal progression, collaborating with Account Managers and the One Lenovo sales organization.
• Execute go-to-market strategies for Lenovo's AI offerings, focusing on key verticals such as BFSI, Manufacturing, Healthcare, and Public Sector.
• Represent Lenovo's AI capabilities at customer forums, industry events, and partner engagements.
• Provide market and competitive insights to influence product and services strategy.

3. Collaboration & Enablement

• Partner with NVIDIA, ISVs, and cloud providers to develop co-sell-ready AI solutions and reference architectures.
• Support internal sales and presales enablement through AI-focused sales playbooks, training sessions, and solution guides.
• Work cross-functionally with delivery, engineering, and marketing teams to ensure smooth execution and customer satisfaction.

Position Requirements

Education & Experience

• Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
• 8+ years of experience in AI Solution Sales, Pre-Sales Consulting, or Enterprise Account Management.
• Proven track record in selling or positioning AI-driven solutions to large enterprise clients, ideally with exposure to solution architecture concepts.

Technical Expertise

• Strong understanding of Generative AI, RAG, Agentic AI, and Machine Learning frameworks.
• Familiarity with NVIDIA's AI stack (CUDA, Triton, NGC, DGX, etc.) and GPU-based infrastructure.
• Knowledge of AI infrastructure components — servers, storage, MLOps, and edge computing.
• Awareness of AI deployment models, data pipelines, and cloud integration (Azure, AWS, GCP).

Business & Communication Skills

• Demonstrated ability to articulate AI business value and ROI to both technical and executive stakeholders.
• Strong negotiation, account management, and deal-closing skills.
• Excellent presentation and communication capabilities, with the ability to simplify technical concepts for business audiences.
• Experience in Edge AI or IoT solution selling is an advantage.

Preferred Certifications

• NVIDIA AI Infrastructure and Sales Enablement Certifications.
• Cloud or AI/ML Solution Architecture certifications from AWS, Azure, or GCP (preferred but not mandatory).