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Forward Deployed Engineer

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Lenovo
Full Time position
Listed on 2026-11-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

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).

To find out more visit  and read about the latest news via our Story Hub.

About Our Team

We are building Qira, Lenovo's next-generation cross-device Personal AI platform that delivers intelligent, context-aware experiences across Windows, Android, and the cloud. Our team takes Qira from platform to real-world use across Lenovo teams, consumer experiences, partner initiatives, and enterprise environments. We discover high-value use cases, build the integrations and agent capabilities that make Qira useful, and turn adoption learning into reusable product improvements.

About

The Role

The Forward Deployed Engineer is a hands-on software engineer who works directly with the people and teams using Qira to discover use cases and do work that runs there in real contexts. You will build and ship the integrations, configurations, and agents each program needs, and stay with them until the capability is adopted and working in production.

This is a hybrid role based in Morrisville, with at least three days a week on site with Lenovo’s business and IT teams. Travel of up to 25% to other Lenovo locations, partner sites, and customer sites is expected. Your initial focus will be priority Qira adoption programs, beginning with Customer Zero and potentially spanning consumer experiences, partner initiatives, and enterprise deployments as priorities evolve.

This is an engineering role first. You write and ship production code, and you spend much of your time with the people who use it.

What You’ll Do
  • Deploy and configure Qira for priority adoption programs, beginning with Lenovo’s “Customer Zero” program and working directly with users and IT teams.
  • Work with stakeholders to map workflows and pain points, and help scope them into deployable use cases.
  • Write production code that ships into real environments: integrations, connectors, agents and skills, including MCP servers as the team’s standard integration pattern.
  • Configure and troubleshoot identity and SSO, device and app settings, security, and workflow integrations hands-on.
  • Support Qira pilots, beta programs, launches, and use-case development across internal, consumer, partner, and enterprise user groups.
  • Drive adoption after deployment: track usage, gather feedback, fix issues, and improve what has been built.
  • Document deployments and contribute to the reusable components and playbook used across Qira rollouts.
  • Raise field issues and requirements to the engineering team with clear, actionable detail.
Basic Qualifications
  • 8+ years in software engineering, solutions engineering, applied AI, or forward deployed engineering.
  • Experience with Python or Type Script, with experience shipping production code.
  • Working knowledge of LLMs, prompt design, retrieval-based architectures, and agent-based systems, with hands-on experience building at least one LLM-powered feature.
  • Experience building production…
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