Senior AI/ML Architect
Tasks
- Align AI architecture with technology roadmaps
- Architect scalable generative ai systems
- Build inference and monitoring pipelines
- Create scalable platforms for large scale applications
- Define best practices to mitigate generative AI risks
- Define business requirements and technical specifications
- Design scalable distributed AI architectures
- Document architecture designs workflows and decisions
- Ensure integration with enterprise systems
- Implement APIs and microservices for AI integration
- Maintain deployed solutions at customer sites
- Mentor engineering teams on AI and software architecture
- Select customize and optimize generative AI models
Perks/Benefits
- 401k matching
- Adoption Assistance
- Dental insurance
- Disability benefits
- Employee assistance program
- Life insurance
- Medical insurance
- Paid Holidays
- Paid parental leave
- Permissive time off
- Prescription Drug Coverage
- Retirement savings plan
- Tuition assistance
- Vision insurance
Skills/Tech-stack
API Development | AWS | Agentic AI | Azure | CI/CD | Data Governance | Distributed Systems | Docker | GCP | GPU Acceleration | Generative AI | GraphQL | Kubernetes | LLMOps | Language Models | Large Language Models | Logging | MLOps | Metrics | Microservices | Model Distillation | Model Monitoring | Model Pruning | Model Quantization | Observability | On-Prem deployments | On-prem | Privacy | Prompt engineering | REST APIs | Retrieval-Augmented Generation | Security | TPU Acceleration | Tool use | Tracing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect
Regions
Countries
States
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