AI Reliability Lead

General Information

Req #

WD

Career area:

Software Engineering

Country/Region:

United States of America

State:

North Carolina

City:

Morrisville

Date:

Thursday, May 21, 2026

Working time:

Full-time

Additional Locations:

* United States of America - Illinois - Chicago

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 $69 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.

Description and Requirements

About Our Team

Lenovo is building Quantum, a next‑generation hybrid AI platform spanning Windows, Android, and cloud. As part of this vision, we are expanding the engineering organization behind Qira, Lenovo's cross‑device Personal AI that delivers intelligent, safe, and reliable experiences across Lenovo and Motorola products.

We are hiring an AI User Experience Reliability Lead to define and drive the technical strategy for reliability across Qira's AI behaviors, outputs, and runtime safety systems. This role leads the engineering direction for how Qira's intelligence is evaluated, monitored, and improved - ensuring users experience correct, consistent, stable, and trustworthy AI behavior at global scale.

This is a critical leadership position shaping one of the most important engineering domains within Qira and Lenovo's broader AI strategy.

Location:

Open to remote work in the US. The preferred work location is Chicago, IL.

What You'll Do

AI Quality & Behavioral Reliability

* Define and execute the strategy for measuring and improving the accuracy, stability, and task success of Qira's AI actions.

* Build and evolve evaluation frameworks, behavioral scorecards, and quality validation for models, prompts, retrievers, and task orchestration.

* Develop systems to detect hallucinations, regressions, safety deviations, and other behavioral anomalies in real time.

Safety & Guardrail Reliability

* Ensure the reliability of runtime safety systems, including content moderation, jailbreak/misuse detection, safety classifiers, and policy enforcement.

* Partner with Safety, Legal, Ethics, and Product teams to convert requirements into robust technical safety solutions.

* Validate safety updates through testing, evaluation, and monitored deployment.

AI Observability & Telemetry

* Define the telemetry, metrics, traces, and data needed to understand AI behavior end‑to‑end across device, edge, and cloud.

* Collaborate with observability and platform teams to integrate AI‑specific signals (quality, drift, safety events) into a unified reliability platform.

* Lead the creation of dashboards and analytics that provide deep insight into AI behavior and experience reliability.

Reliability Engineering & Architecture Influence

* Partner with engineering, AI/ML, and product teams to embed reliability into the design of prompts, models, policies, and workflow orchestration.

* Influence architecture to ensure AI behavior is predictable, testable, explainable, and resilient.

* Establish standards for AI evaluation, rollout safety, service readiness, and runtime validation.

Cross‑Functional Leadership

* Represent AI experience reliability in architectural reviews, product decisions, roadmap development, and launch readiness.

* Drive cross-team alignment on…