Forward Deployed Engineer

* 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 , and read about the latest news via our StoryHub .

Description and Requirements

Job Description

Remote

Lenovo Solutions & Services Group is running a company-wide AI transformation program, embedding engineering talent directly inside business functions. Forward Deployed Engineers (FDEs) are the builders at the center of that model.

As an FDE, you will be assigned to a specific business function and work alongside its leaders and teams to identify where AI creates real leverage, then build and deploy practical solutions that fit how work actually gets done. This is not a research or advisory role — you move from discovery to working prototype to deployed solution within sprint cycles, in close partnership with a Domain Leader who provides business direction and context.

The right candidate is energized by driving meaningful change in a business — not just shipping code but making sure what gets built is genuinely adopted and used. You are comfortable working with typical tech stacks such as Microsoft and ServiceNow as well as building custom AI agents/ solutions on other internal platforms.

Embed in a business function and work with the Domain Leader and subject matter experts to map workflows, surface pain points, and identify high-value AI opportunities.

Translate business problems into scoped, deliverable use cases — balancing ambition with what is practical to build and adopt.

Design and build AI solutions using the right tools for the problem: Microsoft AI and productivity platforms (Copilot Studio, Azure OpenAI, M365), RAG pipelines, agent workflows, automation tooling, and custom development where needed.

Prototype quickly, test with real users, and iterate within short sprint cycles.

Deliver solutions that integrate into existing workflows — not standalone demos.

Own adoption as well as technical delivery — work alongside change resources to help teams actually use what gets built.

Gather feedback post-deployment to improve performance and increase business value over time.

Contribute to patterns and practices that can scale across squads and functions.

Bridge business stakeholders, data teams, and platform partners — translating clearly in both directions.

Provide concise, honest updates on progress, risks, and tradeoffs to technical and senior non-technical audiences alike.

• 5+ years in software engineering, solutions engineering, applied AI, or a closely related technical role.

Hands‑on experience building and deploying AI, automation, or intelligent workflow solutions in real business settings.

Strong working knowledge of LLMs, prompt design, retrieval‑based architectures, orchestration, and agent‑based systems.

Comfortable integrating with enterprise APIs, data sources, and workflow platforms.

A genuine drive to see change land — you understand that building the solution is only half the job.

Clear communicator; able to explain technical decisions in plain language to business and leadership audiences.

Experience with Microsoft AI platforms: Copilot Studio, Azure OpenAI, M365, Power Platform.

Background in technical consulting, solutions architecture, or customer‑facing engineering.

Experience with change enablement, user adoption, or process redesign alongside technical delivery.

Working solutions in users’ hands at the end of each sprint — not decks or proofs of concept.

Measurable business outcomes: time saved, processes improved, decisions made faster.

A team that has adopted the tools and can articulate the impact.

A function that can operate and evolve its AI solutions after the engagement ends.

We offer flexibility in where you work! This role is eligible for remote work. If you live within commuting distance of our Chicago, IL or Raleigh, NC offices, you'll enjoy a hybrid schedule with three days in the office and two days working from home each week. If you're located outside of these areas, you'll have the opportunity to work remotely, based on business needs.

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

PAY TRANSPARENCY

The anticipated annual compensation range for this position is 152,000–233,105 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

In compliance with Colorado’s Equal Pay for Equal Work Act (EPEWA), the expected application deadline for this position is 12-01-2026. This requirement applies to both internal and external candidates.

If you require an accommodation to complete this application, please contact View email address on click.appcast.io