Gen AI Enterprise Architect-AVP
Tasks
- Build LLMOps pipelines
- Design end-to-end generative AI systems
- Enforce data protection with RBAC encryption and PII masking
- Establish AI governance frameworks
- Implement model versioning and CI/CD
- Integrate AI solutions with APIs
- Lead technical strategy across AI architecture layers
- Manage AI security and hallucinations
- Perform client workshops and requirements gathering
- Select and fine tune llm models
- Set up observability for system health and latency
- Translate business needs into AI blueprints
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | Access Control | Autogen | Azure | CI/CD | Cloud platform | Data encryption | Datadog | Embeddings | Google Cloud | Google Cloud Platform | LLMOps | Langchain | Milvus | Model versioning | NLP | Observability | PII masking | Pinecone | Prometheus | PyTorch | Python | Role-Based Access | Role-Based Access Control | Splunk | TensorFlow | Vector Databases
Education
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