AI Application Architect
Core
Designing and building AI application architectures and platforms for SRE/DevOps scenarios to enable intelligent collaboration, fault detection, and automated incident response.
Role type
Senior AI Application Architect (AIOps/SRE)
Builds
AI Harness capabilities, automated RCA systems, and AIOps platforms for R&D and operations.
Domain
Crypto exchange / AIOps / LLM application development
Deliverable
production ML models | infrastructure
Required skills
Software architecture, distributed systems, microservices, LLM application development (RAG, Agents, Prompt Engineering), AIOps (log analysis, anomaly detection, distributed tracing), cloud-native technologies (Kubernetes, Docker, Kafka, Prometheus, OpenTelemetry), complex problem analysis
Preferred skills
Experience building AI applications, SRE, AIOps, or DevOps platforms; experience delivering AI Agent or intelligent assistant products; bilingual Chinese and English
Technologies
Java, Python, Go, TypeScript, Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, vector databases
Responsibilities
Design AI Harness capabilities for fault detection and automated inspection; Drive development of automated RCA systems combining logs, metrics, and tracing; Build AIOps platform capabilities for anomaly detection and automated remediation; Collaborate with teams to embed AI into Code Review, CI/CD, and incident response processes
Seniority
Senior, hands-on IC