Senior AI/ML Architect
Tasks
- Architect generative AI systems
- Build inference and monitoring pipelines
- Define architectural best practices for generative AI risk mitigation
- Define technical specifications for generative AI applications
- Design deployed solution maintenance for customer sites
- Design scalable distributed architectures for AI workflows
- Develop scalable platforms for large scale solution applications
- Document architectural designs workflows and decisions
- Implement APIs and microservices for AI model integration
- Integrate generative AI capabilities into enterprise systems
- Mentor engineering teams in AI and software architecture
- Select customize and optimize generative AI models
Perks/Benefits
- 12 paid holidays
- Company-matching 401k
- Disability benefits
- Employee assistance program
- Life insurance
- Medical dental vision prescription drug coverage
- Paid parental leave
- Permissive time off
- Retirement savings plan (401(k)
- Tuition assistance
Skills/Tech-stack
API Development | AWS | Azure | CI/CD | Data Governance | Data Privacy | Distributed Systems | Docker | GDPR | GPU Acceleration | Generative AI | Google Cloud | GraphQL | HIPAA | Kubernetes | LLMOps | Language Models | Large Language Models | Lifecycle Management | Logging | MLOps | Microservices | Model Distillation | Model Lifecycle | Model Lifecycle Management | Model Pruning | Model Quantization | Model Serving | Monitoring | Observability | Prompt engineering | REST | Retrieval-Augmented Generation | SOC 2 | Secure Model Serving | Security | TPU Acceleration | Tool use
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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