Senior Principal Chief Architect -Enterprise Platform/Distributed AI Infrastructure & Kubernetes/PyTorch

Tasks

• Advise C level executives on AI adoption
• Architect compliance as code for sovereign AI
• Architect hybrid cloud Kubernetes deployments
• Bridge regional and global engineering hubs
• Build automated benchmarking pipelines
• Coach and mentor engineering talent
• Conduct platform maturity assessments
• Define end to end AI platform architecture
• Design integration layers for production readiness
• Establish testing and release practices
• Evolve SDLC for AI workloads
• Implement Continuous Integration and Continuous Delivery
• Lead forward deployed engineering team
• Lead open source foundation governance
• Organize APAC developer meetups and workshops
• Steward upstream open source contributions
• Translate telemetry into product improvements

Perks/Benefits

• N/A

Skills/Tech-stack

Access Management | Automated testing | Benchmarking | C++ | CI/CD | CUDA | Data Pipelines | Distributed inference | GPU Management | Go | Hybrid Cloud | Identity and Access Management | Identity and access | Kubernetes | LLM Vulnerability | LLM Vulnerability Testing | LLMOps | Langchain | Linux | Llamaindex | MLOps | MLflow | Model Serving | On-Premises | On-premises deployment | Open Source | Open-source governance | Policy engine | Policy-as-Code | PyTorch | Python | ROCm | Ray | Red Teaming | Telemetry | VLLM | Vulnerability testing | “as-code”