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

Tasks

• Advise C level executives on regulated AI adoption
• Architect compliance as code policy based deployments
• Architect hybrid cloud AI platforms
• Bridge global R and D with regional engineering hubs
• Coordinate distributed development efforts
• Define technical qualification process for engagements
• Design integration layers for scaled production
• Develop and mentor engineering talent
• Establish testing and release practices
• Evolve software development lifecycle for AI workloads
• Implement Continuous Integration and Continuous Delivery
• Lead platform maturity assessments and adoption roadmaps
• Lead upstream open source governance activities
• Orchestrate forward deployed engineering team
• Organize developer meetups and technical workshops
• Steward and contribute open source platform primitives
• Translate telemetry and red teaming into actionable insights

Perks/Benefits

• N/A

Skills/Tech-stack

Access Management | Air Gapped Frameworks | Air-gapped | Automated testing | C# | C++ | CI/CD | CUDA | Data Pipelines | Distributed inference | GPU Management | Go | Hybrid Cloud | Identity and Access Management | Identity and access | Kubernetes | LLM orchestration | LLMOps | Langchain | Llamaindex | MLOps | Model Serving | Policy engines | Policy-as-Code | Python | ROCm | Red Teaming | Secure deployment | Telemetry | “as-code”