Lead AI Architect
USD 118K-196K Senior-level Full Time
Tasks
- Architect human in the loop systems
- Architect scalable low latency inference systems
- Build inference engine strategy
- Define AI system structure
- Define MLOps best practices
- Define data schemas
- Design API contracts
- Design data pipelines
- Design deployment strategies
- Design distributed systems
- Design end-to-end AI architecture
- Design microservices architecture
- Design model storage
- Document architectural patterns
- Ensure data privacy compliance
- Establish model versioning strategy
- Implement AI guardrails
- Integrate AI with enterprise infrastructure
- Lead technical design reviews
- Mentor engineers
- Optimize cloud cost for GPU and TPU
- Present architecture decisions to executives
- Select AI tech stack
- Use infrastructure as code
Perks/Benefits
Skills/Tech-stack
AI Safety | API Design | AWS | Amazon SageMaker | Ansible | Artificial Intelligence | Azure | Azure Machine Learning | BentoML | CCPA | Cloud Native | Cloud platform | Cost Optimization | Data Pipelines | Data Privacy | Data schemas | Distributed Systems | Fine Tuning | GDPR | GPU Cost Optimization | Generative AI | Google Cloud | Google Cloud Platform | Human-in-the-loop | Infrastructure as Code | JSON | Kubeflow | Learning operations | Low Latency | Low-Latency Systems | MLflow | Machine Learning | Machine Learning Operations | Microservices Architecture | Orchestration frameworks | PyTorch | Retrieval-Augmented Generation | SQL | Scalable systems | Secure Architecture | Structured data | TPU Cost Optimization | TensorFlow | Terraform | The Loop | Transformer | Unstructured Data | Vector Databases | Vertex AI | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Information Technology
Roles
AI | AI Architect | Architect | Enterprise Architect | Software Architect
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