General Information
Req #
WD00097452
Career area:
Software Engineering
Country/Region:
India
State:
Karnataka
City:
BANGALORE
Date:
Monday, April 20, 2026
Working time:
Full-time
Additional Locations: * India - Karnātaka - Bangalore
* India - Karnātaka - BANGALORE
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 www.lenovo.com, and read about the latest news via our StoryHub.
Description and Requirements
Responsibilities
- Build and lead the AI Quality Engineering organization at India, covering functional testing, scenario testing, automation, and regression.
- Define and execute a comprehensive AI testing strategy across Windows, Android, cloud, and cross-device experiences.
- Architect the AI automation framework for UI, system interactions, agent flows, and multimodal input/output validation.
- Own model and agent evaluation pipelines, including accuracy, latency, grounding, hallucination detection, safety checks, and guardrail tests.
- Build tooling for validating local versus cloud inference paths, RAG reliability, perception models, and agent orchestration flows.
- Partner with SRE & Delivery to define quality gates, release criteria, and gating policies for the release train.
- Create a unified scenario library across features like Learning Zone, Notion integration, cross-device continuity, Local Agent, and more.
- Develop a risk-based testing strategy to support parallel prototyping while maintaining high confidence in integration and release.
- Work closely with Platform, Core Intelligence, Experience, and Cloud teams to identify quality gaps early and enforce quality standards.
- Lead the cultural shift toward 'testability by design' and raise the quality bar across all engineering teams.
Essential Skills
- 10+ years of experience in quality engineering, test automation, or AI/ML validation, with at least 3 years leading teams.
- Strong background in building automation frameworks for complex distributed or cross-device products.
- Hands-on experience testing AI models, RAG/LLM systems, perception models, or agentic behaviors.
- Deep experience with UI automation (Windows, Android), API testing, performance validation, and scenario-based testing.
- Experience working with telemetry, logs, and debugging across large-scale systems.
Additional Skills & Qualifications
- Ability to work across geographies and manage cross-functional alignment with platform, intelligence, cloud, and experience teams.
- Proven success driving quality culture in fast-paced engineering organizations.
- 25% global travel capability.
Additional Locations: * India - Karnātaka - Bangalore
* India - Karnātaka - BANGALORE
* India
* India - Karnātaka
* India - Karnātaka - Bangalore , * India - Karnātaka - BANGALORE
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