Senior AI Architect (Hybrid Eligible)
Oak Ridge, TN, US, 37830
R
USD 145K-186K (estimate) Senior-level Full Time
Tasks
- Define AI reference architectures
- Design end-to-end AI systems
- Establish LLMOps and MLOps pipelines
- Implement secure by design architectures
- Integrate LLMs into scientific workflows
- Lead architecture reviews and technical roadmaps
- Lead hybrid on prem and cloud model deployments
- Mentor teams and standardize reusable components
- Perform benchmarking and red teaming
Perks/Benefits
- Educational assistance
- Flexible work hours
- Generous vacation and holidays
- Medical and retirement plans
- Parental leave
- Relocation assistance
Skills/Tech-stack
API | Access Management | Audit Logging | CI/CD | Distributed Training | Docker | Faiss | FastAPI | Identity and Access Management | Identity and access | Inference Optimization | Instruction Tuning | KServe | Kubernetes | Language Models | Large Language Models | LoRA | Logging | MLflow | Machine Learning | Milvus | Model Serving | Monitoring | NVIDIA Triton | Network Segmentation | ONNX Runtime | Observability | PEFT | Pinecone | Prompt injection | Prompt injection mitigation | Python | Quantization | RAG | Ray Serve | Retrieval-Augmented Generation | Security | TensorRT | Tracing | VLLM | Vector Databases | Vector Search | Weaviate
Education
Roles
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