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Lenovo

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

Morrisville, NC, US Mid Posted July 26, 2026

Role Description

General Information

Req # WD00101530 Country/Region: United States of America State: North Carolina City: Morrisville Date: Monday, July 27, 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 #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 www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

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, SteerCo 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
  • Strong knowledge of LLMs, prompt engineering, RAG, agent-based systems
  • Integration experience with enterprise platforms (CRM, ERP, CPQ, APIs)
  • Exposure to Marketing, Sales, or Revenue Operations domains
  • Demonstrated ability to deliver measurable business outcomes and drive adoption
  • Strong communication skills across business and technical stakeholders
  • Experience with Microsoft AI stack (Copilot Studio, Azure OpenAI, Power Platform)
  • Background in commercial transformation, pricing, or sales enablement
  • Experience in consulting, solutions architecture, or cross-functional delivery models
  • Understanding of transformation governance, KPIs, and ROI tracking frameworks

Basic Requirements:* 5+ years of experience in software engineering, applied AI, or solutions engineering

#LI-MM5 #LI-Hybrid *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

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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