Forward Deployed Engineer (FDE) - Marketing & Sales AI Transformation

General Information

Req #WD

Date:
Monday, July 27, 2026

Country/Region:
United States of America

State:
North Carolina

City:
Morrisville

Working time:
Full-time

• United States of America
  - North Carolina
  - Morrisville

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 #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).

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 Story Hub.

Role Overview:

The Forward Deployed Engineer (FDE) is a hands‑on AI engineer and transformation practitioner embedded within Marketing and Sales functions to accelerate Lenovo's Solutions and Services Group's (SSG) AI‑led Marketing & Sales transformation agenda.

This role partners with domain leaders to identify, build, and scale AI solutions across Market-to-Opportunity (M2O) and Quote-to-Cash (Q2C) processes - delivering measurable outcomes such as revenue growth, sales productivity, pricing optimization, and cycle time reduction.

The FDE operates in a sprint‑based, execution‑focused model, owning delivery from problem discovery to deployed solution and adoption, aligning with enterprise transformation priorities, governance, and value realization.

Key Responsibilities:

1. Business Discovery & Use Case Definition

• Embed within Marketing & Sales teams to assess end‑to‑end workflows across lead generation, pipeline management, pricing, quoting, and order fulfillment
• Identify high‑value AI opportunities aligned to commercial KPIs and transformation priorities
• Translate business problems into scoped, executable AI use cases

2. AI Solution Build & Deployment

• Design and deliver AI solutions leveraging:
• Generative AI, Agentic AI, predictive analytics
• Microsoft AI ecosystem (Copilot Studio, Azure OpenAI, M365, Power Platform)
• RAG pipelines, agent orchestration, and automation tools
• Rapidly prototype, test, and iterate within sprint cycles
• Deliver production‑grade solutions integrated into existing enterprise systems (CRM, CPQ, ERP)

3. Commercial Transformation Impact

• Drive improvements across:
• Revenue velocity and pipeline conversion
• Quote‑to‑cash cycle time and deal execution
• Pricing optimization and sales effectiveness
• Enable digital transformation across sales, pricing, and revenue operations processes

4. Adoption & Change Enablement

• Ensure solutions are adopted, embedded, and scaled within business workflows
• Partner with business stakeholders to drive change management and user adoption
• Capture feedback and continuously enhance delivered solutions

5. Transformation Alignment & Governance

• Align delivery with SSG Digital Transformation roadmap, KPIs, and ROI targets
• Contribute to performance tracking, dashboards, and transformation scorecards
• Provide regular updates into program governance cadence (weekly reviews, Steer Co inputs)

6. Stakeholder Collaboration

• Act as a bridge between business stakeholders, IT, data platforms, and AI teams
• Communicate progress, risks, and trade‑offs clearly across technical and non‑technical audiences
• Support cross‑functional alignment in complex, global environments

Qualifications:

• 5+ years of experience in software engineering, applied AI, or solutions engineering
• Proven experience delivering AI/automation solutions in business environments
• Str…