AI Architect
Tasks
- Architect data and compute foundations for AI ML workloads
- Architect enterprise AI ML and automation systems
- Create design documentation reference architectures and technical blueprints
- Define interoperability resilience and observability standards
- Define roadmap and drive continuous architectural evolution
- Define target state enterprise architecture
- Design event-driven architectures
- Design real time stream processing and low latency systems
- Enable near real time inference and intelligent decisioning
- Ensure designs align with security and industry standards
- Mentor engineering teams and provide technical leadership
- Oversee integration of distributed systems and data pipelines
- Perform architecture gap analysis and scalability risk assessment
- Support model lifecycle management and scalability
Perks/Benefits
- N/A
Skills/Tech-stack
AI machine learning | Data Fabrics | Data Pipelines | DataOps | Distributed Systems | Enterprise Architecture | Event Driven | Event-driven architecture | Lifecycle Management | Low Latency | MLOps | Machine Learning | Messaging platforms | Model Lifecycle | Model Lifecycle Management | Observability | Real Time | Real-time stream processing | Scalability | Stream processing
Education
N/A
Roles
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