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# AI engineer and transformation practitioner

- **Company:** Lenovo
- **Location:** Morrisville, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, OpenAI, Software Engineering, Systems Integration, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Build Management, Microsoft Copilot Studio, AI Platforms, Data Management
- **Published:** October 9, 2026
- **Apply:** https://www.dice.com/job-detail/f98d16a6-011c-4bc2-94ed-745219ae2ee3

## About the Role

* 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

## Description

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., 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