Principal Architect, AI/ML
Tasks
- Architect and optimize AI platforms for large language model hosting fine tuning serving and scaling
- Design secure scalable data sovereign AI architectures
- Evaluate and recommend cloud native technologies for cost efficient AI deployments
- Guide engineering teams on model training optimization inference efficiency observability and agentic workflows
- Implement MLOps practices deployment pipelines monitoring and AI governance
- Integrate AI solutions into enterprise ecosystems with cloud infrastructure and data architecture
- Lead AI and machine learning architecture design and delivery
- Mentor engineering teams and provide technical thought leadership
- Perform AI ROI analysis and cost optimization planning
- Serve as technical advisor during pre-sales
Perks/Benefits
- EU based flexibility
- Fully remote
- Inclusive and diverse culture
- Professional growth
- Technical mentorship
- UK based flexibility
- Work-life balance
Skills/Tech-stack
AI Evaluation | AI Governance | AWS | Agent Builder | Artificial Intelligence | Fine Tuning | GKE | Google ADK | Google Cloud | Google Kubernetes | Google Kubernetes Engine | Inference | JAX | Kubernetes Engine | LORA fine tuning | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | MLOps | Machine Learning | Machine Learning observability | Microsoft Azure | Model Optimization | Model Serving | Privacy Compliance | Pruning | PyTorch | PyTorch/XLA | Quantization | TPU | TensorRT-LLM | VLLM | Vertex AI | Vertex AI Agent Builder | Vertex AI Evaluation
Education
Roles
AI | AI Architect | Architect | Principal | Principal AI Architect
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