AI Application Engineer

Lenovo; Morrisville (NC); Remote; USD 111,000 - 170,000; Full time

Job summary

Lenovo is seeking an AI Application Engineer to bridge software engineering, pre-sales, and product design for its CSAS offering. You will lead technical pre-sales discussions, build AI proofs-of-concept, and deploy integrations across CRM, IVR, and databases in client environments.

Based in the United States with a flexible, home-based arrangement, you will drive field-driven product design, enable internal teams, and contribute to R&D by capturing customer requirements and translating them

Qualifications

• 3–5+ years of software/solutions engineering in a customer-facing role.
• Hands-on experience with LLM APIs, vector databases and GenAI orchestration.
• Experience with cloud platforms (AWS/Azure/GCP) and Docker/Kubernetes.

Responsibilities

• Lead technical pre-sales discussions and build AI proofs-of-concept.
• Deploy core AI solution integrations and provide sales enablement training.
• Lead on-site ingestion and deployment of containerized AI solutions in client environments.
• Define product roadmaps from field feedback and design structured solution models.
• Provide R&D feedback loops with reusable templates.

Skills

Software engineering

Solution engineering

GenAI tooling

Cloud platforms

Docker/Kubernetes

Education

Bachelor's degree in Computer Science, Engineering or related field

Tools

LangChain

LlamaIndex

OpenAI/Claude APIs

Kubernetes

Job description

Aug 20, 2026

General Information

WD00099290

Career area:

Information Technology

Country/Region:

United States of America

State:

North Carolina

City:

Date:

Tuesday, May 26, 2026

Working time:

Full-time

Additional Locations

* United States of America - North Carolina - Morrisville

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.

Description and Requirements

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.

Key Responsibilities

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.

2. 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.


• 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.

4. 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.

Basic Requirements

• 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).


• 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.

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%.

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

* United States of America - North Carolina

* United States of America - North Carolina - Morrisville

PAY TRANSPARENCY

The anticipated annual compensation range for this position is110,600-169,510 USD. Final compensation will be based on relevant experience, skills, and business considerations. 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 Equal Pay for Equal Work Act (EPEWA), the expected application deadline for this position is 10-02-2026.

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