AI Application Engineer

The AI Application Engineer is a highly versatile, customer-facing technical champion responsible for the end-to-end commercialization and deployment of Lenovo’s Customer Service AI Solution (CSAS) offering. Bridging the gap between software engineering, pre-sales consulting, and product design, this role acts as the primary technical partner for clients. You will lead technical pre-sales discussions, build functional AI proofs-of-concept (POCs), deploy core solution integrations, conduct internal sales enablement training, and translate real-world client requirements into reusable product models and roadmap priorities for our core R&D teams., 1. Pre-Sales, Discovery & POC Prototyping (25% Weight)

• Technical Pre-Sales: Partner with business development and sales teams to pitch Lenovo’s AI offerings, demonstrating technical feasibility and handling deep architectural discovery with client IT teams.
• Rapid POC Development: Design and build functional, high-impact AI Proof-of-Concepts (POCs) demonstrating RAG (Retrieval-Augmented Generation) capabilities, model accuracy, and system integration.

1. Full-Stack Implementation & Customer Deployment (45% Weight) * Custom Integration Development: Write production-grade, fault-tolerant Python/TypeScript connectors, data transformers, and workflow scripts to link Lenovo’s AI platform with legacy customer CRM, IVR, and database systems (e.g., Salesforce, ServiceNow, on-prem databases) with a “Zero Rip-and-Replace” philosophy. * On-Site Ingestion & Operations: Lead the deployment of containerized (Docker, Kubernetes) AI solutions within client-managed private or hybrid cloud environments.

2. Product Model Design & R&D Feedback (15% Weight) * Field-Driven Product Design: Act as a technical Product Manager in the field, clarifying ambiguous customer requirements, creating structured solution designs, and defining repeatable product models. * R&D Feedback Loop: Package local client-side customizations and feature requests into reusable, productized templates and advocate for their inclusion in core platform R&D roadmaps.

3. Sales Enablement & Value Engineering (15% Weight) * Internal Sales Enablement: Develop and deliver technical training to internal sales, delivery, and marketing teams to build organization-wide capability in pitching and positioning our AI offerings. * Value Instrumentation: Design and implement telemetry (using structured logs, open-source tracing, or Prometheus) to track, measure, and mathematically prove business-level KPIs (e.g., Average Handling Time reductions, first-contact deflection, and ROI) directly to client stakeholders., This role offers the flexibility to be home-based anywhere in the United States. If you’re near our Chicago or Raleigh offices, we follow a friendly hybrid model with three days a week in the office - great for collaboration and connection! This role will require travel which may be up to 25%. The base salary range budgeted for this position is $117,000 to 145,000. Individuals may also be considered for bonuses and/or commissions. Lenovo’s various benefits can be found at www.lenovobenefits.com.

In compliance with Colorado’s EPEWA, the expected Application Deadline for this position is 8/15/2026 - this applies to both internal and external candidates We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Additional Locations:

• United States of America - North Carolina - Morrisville
• United States of America
• United States of America - North Carolina
• United States of America - North Carolina - Morrisville

• Bachelors Degree in Computer Science, Engineering or related field
• Engineering Practice: 3-5+ years of software engineering, solution engineering, or systems integration experience in a customer-facing or consultative capacity.
• AI Application Experience: Hands-on experience building, testing, or deploying applications utilizing LLM APIs, vector databases, and GenAI orchestration frameworks (e.g., LangChain, LlamaIndex, OpenAI/Claude APIs).
• Full-Stack Tooling: Proficient in Python (FastAPI, Flask) or JavaScript/TypeScript (Node.js, React) and building REST/GraphQL API integrations.
• Infrastructure Knowledge: Experience working with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker).

Preferred Requirements

• Enterprise SaaS Platforms: Strong experience integrating with major enterprise developer platforms (e.g., Salesforce, ServiceNow, HubSpot, or Veeva).
• Product Mindset: Demonstrated experience capturing ambiguous requirements and documenting them as structured technical requirements or solution architectures.
• Grit & Problem-Solving: Ability to debug complex data-flow, networking, and rate-limiting issues under tight timelines in live client environments.

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$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.