AI Architect
Tasks
- Align technical direction across teams
- Architect integration layers and APIs
- Conduct architecture reviews and define design standards
- Define AI enabled application architecture
- Define responsible AI controls
- Design agent frameworks and tool use
- Design data pipelines for feature and data processing
- Design microservices event driven patterns
- Design vector search using vector databases
- Ensure privacy and compliance architecture
- Establish evaluation services for AI systems
- Guide scalability resilience and observability practices
- Implement batch and real-time inference
- Orchestrate LLM workflows
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agent Frameworks | Cloud Computing | Compliance | Containerization | Data Architecture | Data Governance | Deep learning | Evaluation | Event Driven | Event-driven architecture | Feature Engineering | Inference | Infrastructure automation | Integration Architecture | Kubernetes | LLM orchestration | Lifecycle Management | Machine Learning | Metadata Management | Microservices | Model Lifecycle | Model Lifecycle Management | Observability | Privacy Engineering | RAG | Retrieval-Augmented Generation | Security Architecture | Software Architecture | Vector Databases | Vector Search
Education
N/A
Roles
Regions
Countries
States
Cities
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