Principal Architect, AI/ML
Tasks
- Architect model hosting and fine tuning
- Collaborate with cloud and data architects
- Design agentic workflows and systems
- Design proposal solutions and client pitch support
- Design secure scalable AI systems
- Drive bias mitigation and model explainability
- Ensure GDPR and data privacy compliance
- Implement MLOps best practices
- Lead architecture for AI machine learning solutions
- Optimize model performance for training and serving
- Oversee end to end delivery of AI projects
- Perform ROI analysis and cost optimization
- Provide hands on mentoring and guidance
- Scope pre sales AI opportunities
Perks/Benefits
Skills/Tech-stack
AI Agent Builder | AI Evaluation | Agent Builder | Agentic Systems | Artificial Intelligence | Bias Mitigation | Cloud platform | Cost Optimization | Data Privacy | GDPR | GKE | Google ADK | Google Cloud | Google Cloud Platform | JAX | LLM optimization | Langchain | Langfuse | Langgraph | Langsmith | LoRA | MLOps | Machine Learning | Model Explainability | Model Optimization | Model Serving | Pruning | PyTorch | PyTorch/XLA | Quantization | ROI analysis | Secure Architecture | TPUs | TensorRT-LLM | VLLM | Vertex AI | Vertex AI Agent Builder | Vertex AI Evaluation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Architect | Architect | Principal | Principal Architect
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