Principal Architect, AI/ML
Tasks
- Advise clients during pre sales to scope opportunities and define solution strategies
- Architect and optimize AI platforms for large language model hosting fine tuning serving scaling
- Design scalable secure data sovereign AI architectures
- Guide engineering teams on AI ML topics including training optimization inference efficiency observability and agentic workflows
- Implement MLOps practices deployment pipelines monitoring and AI governance
- Integrate AI solutions with enterprise cloud infrastructure and data systems
- Lead AI and machine learning solution architecture and delivery
- Mentor engineering teams and promote technical excellence
- Perform ROI analysis and cost optimization planning for AI initiatives
- Recommend cloud native technologies frameworks and tooling for AI deployments
Perks/Benefits
- Fully remote work
- Inclusive and diverse work environment
- Mentorship
- Professional growth
- Technical leadership
- Thought leadership
- Work flexibility
- Work-life balance
Skills/Tech-stack
AI Evaluation | AI Governance | AWS | Agent Builder | Artificial Intelligence | Ethical AI | Google ADK | Google Kubernetes | Google Kubernetes Engine | Inference Optimization | JAX | Kubernetes Engine | LLM optimization | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | LoRA | MLOps | Machine Learning | Microsoft Azure | Model Evaluation | Model Explainability | Model Serving | Observability | Privacy Compliance | Pruning | PyTorch | PyTorch/XLA | Quantization | TPU | 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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