Web Application Architect 4
Arlington, VA - 1801 S Bell (INDG), United States
USD 170K-220K Senior-level Full Time
Tasks
- Architect AI and machine learning systems
- Architect real time and batch inference on AWS
- Create architecture and design to reduce complexity and cost
- Define source control build testing and operations practices
- Deliver high availability high performance products
- Design reliable data engineering pipelines
- Design scalable secure web applications
- Drive adoption of AI automation in core workflows
- Establish development workflows with AI coding assistants
- Implement MLOps model lifecycle management
- Implement safe use standards for AI tools
- Integrate predictive models into customer applications
- Lead cross team technical architecture decisions
- Monitor evaluate and detect drift for models
- Provide technical guidance and resolve product level issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Architecture patterns | Batch inference | CI/CD | Cloud Architecture | Code review | Data Engineering | Data Modeling | Databases | Design Patterns | Development Lifecycle | Drift Detection | Event Driven | Event-driven architecture | High Availability | High Performance | Infrastructure as Code | Knowledge graphs | LLM | MLOps | Machine Learning | Microfrontends | Microservices | Model Drift | Model Drift Detection | Model Evaluation | Model Monitoring | Ontology | Real Time | Real-time Inference | Retrieval | Retrieval-Augmented Generation | Secure Coding | Serverless | Service Oriented | Service-Oriented Architecture | Software Development Lifecycle | Software development | Source Control | Vector Databases | “as-code”
Education
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