AI Architect
Tasks
- Define AI architecture models and delivery patterns
- Define enterprise AI use cases
- Develop current state and target state AI architecture
- Embed AI monitoring telemetry and observability
- Establish reusable AI architecture patterns and standards
- Guide proof of concept and pilot strategies
- Implement AI governance and change management
- Lead build versus buy evaluations for AI platforms
- Translate requirements into secure reliable governed AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Security | API | AWS | Access Controls | Auditability | Azure | Bias Mitigation | CI/CD | Compliance | Cost Optimization | Data Pipelines | Data Privacy | Data Protection | Drift monitoring | ELT | ETL | Feature Engineering | Generative AI | Google Cloud | Governance | Human-in-the-loop | LLMOps | Langchain | Language Models | Large Language Models | Lifecycle Management | MLOps | Machine Learning | Model Deployment | Model Evaluation | Observability | Performance Monitoring | Prompt engineering | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | Risk Management | Scikit-learn | Semantic Kernel | Semantic layer | Structured data | Telemetry | TensorFlow | The Loop | Unstructured Data | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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