Senior AI/ML Architect
Tasks
- Architect generative AI systems
- Build inference and monitoring pipelines
- Create architectural documentation for transparency and scalability
- Define architectural best practices for generative AI risk mitigation
- Define technical specifications for generative AI applications
- Design deployed solution maintenance for customer sites
- Design platforms for large scale solution deployments
- Design scalable architectures for generative AI workflows
- Ensure performance scalability security and data privacy compliance
- Implement APIs and microservices for AI model integration
- Integrate generative AI capabilities into existing systems
- Mentor engineering teams on AI and software architecture
- Select customize and optimize generative AI models
Perks/Benefits
- 401k matching
- Adoption Assistance
- Disability benefits
- Employee assistance program
- Health Coach
- Life insurance
- Paid Holidays
- Paid parental leave
- Permissive time off
- Relocation assistance
- Tuition assistance
Skills/Tech-stack
API Development | AWS | Azure | CI/CD | Cloud platform | Data Governance | Distributed Systems | Docker | GPU Acceleration | Generative AI | Google Cloud | Google Cloud Platform | GraphQL | HTTP | Kubernetes | LLMOps | Language Models | Large Language Models | Lifecycle Management | Logging | MLOps | Metrics | Microservices | Model Distillation | Model Lifecycle | Model Lifecycle Management | Model Optimization | Model Pruning | Model Quantization | Monitoring | Observability | Privacy Compliance | Prompt engineering | RAG | REST | Retrieval-Augmented Generation | SOAP | Security | TPU Acceleration | Tracing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Architect | Architect | ML Architect | Senior AI/ML Architect
Regions
Countries
States
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