Principal Architect, AI/ML
Tasks
- Architect and optimize AI platforms for large language model hosting and serving
- Design scalable secure data sovereign AI architectures
- Guide engineering teams on LLM optimization inference efficiency and observability
- Implement MLOps deployment pipelines monitoring and AI governance
- Integrate AI solutions into enterprise ecosystems with cloud infrastructure and data teams
- Lead AI and machine learning architecture design 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
- Support pre sales solution scoping and technical presentations
Perks/Benefits
- EU or United Kingdom location flexibility
- Flexible work schedule
- Fully remote
- Inclusive, diverse work environment
- Mentorship
- Professional growth
- Work-life balance
Skills/Tech-stack
AI Evaluation | AI Governance | AI architecture | AI systems | AWS | Agent Builder | Cloud Native | Cloud platform | Data Sovereignty | GKE | Google ADK | Google Cloud | Google Cloud Platform | Inference Optimization | JAX | LLM optimization | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | LoRA | MLOps | Machine Learning | Microsoft Azure | Model Explainability | Model Pruning | Model Quantization | Model Serving | Observability | Privacy Compliance | PyTorch | PyTorch/XLA | Secure AI | Secure AI systems | TPUs | TensorRT-LLM | VLLM | Vertex AI | Vertex AI Agent Builder | Vertex AI Evaluation
Education
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect | Principal | Principal Architect
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