Staff AI Transformation Architect

DiDi

San Jose (CA)

On-site

USD 255,000 - 351,000

Full time

5 days ago
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Job summary

DiDi Autonomous Driving, in San Jose, seeks a Staff or Principal AI Transformation Engineer to drive company-wide AI transformation with cutting-edge LLM expertise and enterprise-scale scaling. You will blend architecture with hands-on coding, embedding with core teams to evolve the R&D group into an AI-native powerhouse.

You will lead AI infrastructure design, MLOps, and a forward-looking technical roadmap to maintain a competitive edge.

Qualifications

  • Proven technical leader who can design complex, system-level architectures while writing core code and debugging deep system issues.
  • Proven ability to influence multiple engineering teams toward an AI-first paradigm without formal authority.
  • Experience leading or heavily contributing to enterprise-grade AI/ML platforms from 0 to 1.
  • Hands-on deployment, tuning, and optimization of mainstream AI infrastructure tools and frameworks (PyTorch, Ray, vLLM, etc.).
  • Deep experience with distributed LLM training/inference and large-scale compute cluster operations.

Responsibilities

  • AI Infrastructure & Platform Architecture: evaluate, integrate, and design a unified AI platform across data processing, training, inference, and evaluation.
  • Forward Deployed Execution: embed with core autonomous driving teams to translate AI capabilities into production ecosystems.
  • LLMOps / MLOps: design scalable automation pipelines for deployment, monitoring, and feedback; optimize GPU utilization and latency.
  • Technical Roadmap & Vision: stay ahead on AGI trends and ensure a 1–3 year competitive edge.

Skills

Architectural vision
Cross-functional influence
Enterprise AI transformation
Deep AI tech stack
AI infra experience

Tools

PyTorch
Ray
vLLM
Triton Inference Server
Kubernetes
DeepSpeed
Megatron-LM

Job description

DiDi Autonomous Driving, in San Jose, seeks a Staff or Principal AI Transformation Engineer to drive company-wide AI transformation with cutting-edge LLM expertise and enterprise-scale scaling. You will blend architecture with hands-on coding, embedding with core teams to evolve the R&D group into an AI-native powerhouse.

You will lead AI infrastructure design, MLOps, and a forward-looking technical roadmap to maintain a competitive edge.

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