Principal Architect, AI/ML
Tasks
- Architect hosting fine tuning and optimization for proprietary and open source models
- Collaborate with cloud and data architects
- Contribute thought leadership through blogs and conference presentations
- Design private data sovereign AI with GDPR and privacy requirements
- Implement ROI analysis and cost optimization for AI deployments
- Lead architecture and design of secure scalable AI solutions
- Mentor teams on high performance training and model serving
- Provide hands on player coach technical leadership
- Scope opportunities and design solutions for proposals
- Select optimal cloud native technologies for production deployments
- Serve as senior technical authority for AI and machine learning
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Builder | Agentic Systems | Agentic Workflows | Artificial Intelligence | Bias Mitigation | Cloud platform | Cost Optimization | Data Privacy | Fine Tuning | GDPR | GKE | Google ADK | Google Cloud | Google Cloud Platform | HIPAA | High Performance | High performance training | JAX | LLM Evaluation | LLM Observability | Langchain | Langfuse | Langgraph | Langsmith | LoRA | MLOps | Machine Learning | Model Explainability | Model Optimization | Model Serving | Pruning | PyTorch | PyTorch/XLA | Quantization | ROI analysis | Secure Architecture | TPU | TensorRT-LLM | VLLM | Vertex AI | Vertex AI Agent Builder
Education
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect | Principal | Principal Architect
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