AVP, GenAI Enterprise Architect
Tasks
- Build data pipelines for generative AI
- Deploy generative AI solutions with RAG and agents
- Design AI governance frameworks
- Design end-to-end generative AI systems
- Enforce data encryption in transit
- Establish LLMOps standards and model versioning
- Facilitate client workshops and requirements gathering
- Implement CI/CD for model deployment
- Implement role-based access control
- Integrate AI solutions with existing APIs
- Lead technical strategy across gen AI stack
- Mask personally identifiable information
- Monitor API latency and application metrics
- Select and fine tune generative AI models
- Set up system observability for AI services
- Translate business needs into AI technical blueprints
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Access Control | Agents | Autogen | Azure | CD | CI | CI/CD | Data encryption | Datadog | Deep learning | Embeddings | Google Cloud | Langchain | Machine Learning | Milvus | Model versioning | NLP | Observability | Orchestration | PII masking | Pinecone | Prometheus | PyTorch | Python | RAG | Role-Based Access | Role-Based Access Control | Scalability | Splunk | TensorFlow | Vector Databases
Education
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