Principal AI Transformation Architect

Worky

San Jose (CA)

On-site

USD 255,000 - 351,000

Full time

14 days+
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Job summary

DiDi Autonomous Driving seeks a visionary Principal AI Transformation Engineer to drive company-wide AI transformation. You will combine LLM expertise, system architecture, and enterprise-scale AI scaling, embedding with core engineering teams to evolve R&D into an AI-Native powerhouse.

You will lead design of unified AI platform, AI DevOps, and Copilots, enabling production-ready AI workflows across Perception, Prediction, Planning & Control, and Simulation teams.

Qualifications

  • Architectural leadership with hands-on coding in C++, Python, Java or similar.
  • Ability to influence multiple engineering teams toward AI-first practices.
  • Experience leading enterprise AI transformation initiatives at scale.
  • Hands-on deployment, tuning, and optimization of mainstream AI infra tools.
  • Proven track record in distributed LLM training/inference and large compute clusters.

Responsibilities

  • Spearhead AI infrastructure architecture and integration of LLM ecosystems.
  • Embed with core autonomous driving teams to translate AI capabilities into production systems.
  • Design scalable pipelines for LLM deployment, monitoring, and feedback loops.
  • Maintain AI roadmap to keep edge on breakthroughs in AGI and systems engineering.

Skills

Architectural vision
Cross-functional influence
Enterprise AI transformation
Deep AI infra
AI scaling

Tools

PyTorch
Ray
vLLM
Triton Inference Server
Kubernetes
DeepSpeed
Megatron-LM

Job description

DiDi Autonomous Driving seeks a visionary Principal AI Transformation Engineer to drive company-wide AI transformation. You will combine LLM expertise, system architecture, and enterprise-scale AI scaling, embedding with core engineering teams to evolve R&D into an AI-Native powerhouse.

You will lead design of unified AI platform, AI DevOps, and Copilots, enabling production-ready AI workflows across Perception, Prediction, Planning & Control, and Simulation teams.

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