位于北京市, c22的 17 个优质ai platform architect职位（正在招聘！）

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Description and Requirements

Job Responsibilities

Lead the AI Quality Engineering organization at China (Beijing and Tianjin), covering functional testing, scenario testing, automation, and regression.
Define and execute a comprehensive AI testing strategy across Windows (PC), Android (tablets), 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.
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.

Job Requirements:
Essential Skills

8+ years of experience in quality engineering, test automation, or AI/ML validation, with at least 3 years leading teams.
Strong communication skills in English, both written and verbal, are required for this role. The candidate must be able to effectively collaborate with global cross-functional teams, participate in technical and leadership discussions, clearly articulate quality strategies and issues, and communicate with stakeholders across regions including the US, India, and China. Professional proficiency in English is essential for success in this position.
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.

Additional Locations:

China - Beijing - 北京（Beijing）

China

China - Beijing

China - Beijing - 北京（Beijing）

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在北京市, c22的ai platform architect个职位

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