Lead AI Architect
USD 118K-196K Senior-level Full Time
Tasks
- Create infrastructure as code for AI infrastructure
- Define AI safety and guardrails
- Define end-to-end AI architecture
- Design API interfaces
- Design data pipelines for AI solutions
- Design data schemas for structured and unstructured data
- Design human-in-the-loop systems
- Design microservices architecture
- Design model storage and inference engines
- Document architectural patterns
- Ensure scalable, secure AI systems
- Implement MLOps best practices
- Integrate AI solutions with enterprise infrastructure
- Lead architecture design reviews
- Present technical decisions to executive teams
- Select AI technology stack
Perks/Benefits
Skills/Tech-stack
API Design | AWS | Ansible | Azure | Azure Machine Learning | BentoML | Cloud Native | Cost Optimization | Data Pipelines | Data schemas | Deployment Strategies | Distributed Systems | Fine Tuning | GPU | Generative AI | Google Cloud | Infrastructure as Code | Kubeflow | Low Latency | Low Latency Inference | MLOps | MLflow | Machine Learning | Microservices | Model versioning | Orchestration frameworks | PyTorch | RAG | Retrieval-Augmented Generation | SageMaker | Structured data | TPU | TensorFlow | Terraform | Transformer | Unstructured Data | Vector Databases | Vertex AI | “as-code”
Education
Roles
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