Web Application Architect 4
Arlington - 1801 S Bell (INDG), United States
USD 128K-258K (estimate) Senior-level Full Time Found 5d ago
Tasks
- Coordinate across multiple domains and teams
- Design scalable ML infrastructure
- Develop and deliver scalable high-performance applications
- Develop technology roadmap
- Drive AI/automation adoption
- Evaluate tradeoffs for model deployment
- Identify AI-driven growth opportunities
- Implement AI/ML systems and MLOps practices
- Implement secure and reliable data pipelines
- Integrate AI tools in development workflows
- Lead cross-team projects and collaboration
- Lead system architecture and design
- Maintain application stability and performance
- Optimize cost and complexity
- Participate in special projects
- Present technical solutions
- Shape architecture and infrastructure
- Use AI-powered coding agents
Perks/Benefits
- N/A
Skills/Tech-stack
AI Automation | AI systems | AI-assisted workflows | AWS | CI/CD | Cloud Computing | Data Engineering | Data Pipelines | Design Patterns | Event Driven | Event-driven architecture | Infrastructure as Code | Knowledge graphs | LLM | Lifecycle Management | ML deployment | MLOps | Microfrontend | Microservices | Model Lifecycle | Model Lifecycle Management | Monitoring | Ontologies | Operations | Retrieval-Augmented Generation | Serverless | Software Design | Software Design Patterns | Software Engineering | Testing | Version control | “as-code”
Education
N/A
Language: en |
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