Senior Forward Deployed Engineer

Lenovo

. Lead priority Qira adoption programs, beginning with Lenovo’s “Customer Zero” program .

Posted 10/9/2026full-timeRemote • North Carolina • United StatesSenior💰 $184,700 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying and integrating software solutions in enterprise environments, with a strong focus on driving adoption and mentoring engineering teams. Proficient in Python or TypeScript, with hands-on experience in retrieval-augmented generation and production deployments.

Highest-signal resume keywords

Python ProficiencyTypeScript ProficiencyDeployment and Integration ExperienceCustomer-Facing DeliveryMentoring Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringProduction Code ShippingRetrieval-Augmented GenerationPrompt DesignTroubleshooting SoftwareIntegration PatternsDeployment StandardsReusable ComponentsWorkflow AutomationEnterprise Identity and SSO

Soft Skills

Strong Communication Skills

Tools & Technologies

MCP ServersWorkatoCursorLinearIntuneAndroid Enterprise

Industry Keywords

Customer Zero ProgramSecurity PostureAccess-Control ReviewsData Residency RequirementsCIO EngagementCISO Engagement

Tech Stack

Tools & technologies

AndroidPythonTypeScript

About the role

Key responsibilities & impact

Lead priority Qira adoption programs, beginning with Lenovo’s “Customer Zero” program
Deploy, configure, and run Qira in real contexts, driving adoption and surfacing requirements from live usage
Embed with internal teams, consumer experiences, partner initiatives, and enterprise customers to map workflows and scope use cases
Turn ambiguous requests into deployable solutions
Write and ship production code, including integrations, connectors, tool-using agents, skills, and MCP servers
Own deployments end to end across identity and SSO, device and app configuration, security and access review, and workflow integration
Troubleshoot deployments hands-on through production
Engage CIO, CISO, and IT-administrator stakeholders on security posture, deployment models, integration patterns, and manageability
Define and track deployment measures including task success, safety, and adoption
Support Qira launches, early-access programs, and use-case development across user segments
Convert repeatable deployment work into reusable components and patterns
Translate field requirements into engineering input shaping the Qira roadmap
Mentor engineers and set deployment standards and playbook
Feed deployment results and field learnings back to the product team

Requirements

What you’ll need

8+ years in software engineering, forward deployed engineering, solutions engineering, or applied AI, including significant customer-facing delivery
Proficiency in Python or TypeScript, with a track record of shipping production code
Shipped a tool-using LLM agent or LLM application to production
Hands-on experience with retrieval-augmented generation (RAG), prompt design, and evaluation
Independently deployed, integrated, and troubleshot software in customer or enterprise environments, including leading pilots or rollouts
Track record of driving adoption of built solutions
Experience engaging senior business, product, and technical stakeholders, including CIO, CISO, or IT leadership where applicable
Mentored engineers or set technical standards for a delivery effort
Bachelor’s degree in a technical field
Preferred: Enterprise identity and SSO (SAML, OAuth, OIDC, Entra ID, RBAC) and/or workflow automation and iPaaS platforms such as Workato
Preferred: Strong communication skills for explaining technical decisions to business and executive audiences
Preferred: Reusable components such as agent frameworks, MCP servers, reference architectures, or deployment playbooks
Preferred: Production deployments through security or access-control reviews, including BYOC, on-prem, or data residency requirements
Preferred: Retrieval respecting source permissions over enterprise content
Preferred: Windows, Android, or device management experience (Intune, Android Enterprise)
Preferred: AI-assisted development workflows with Cursor and Linear or equivalent tools

Benefits

Comp & perks

Bonus and/or commission consideration
Lenovo benefits (details provided at www.lenovobenefits.com)
Remote work arrangement
Up to 25% travel