Senior AI/ML Architect
Tasks
- Align AI architecture with technology roadmaps
- Architect generative AI systems
- Build inference and monitoring pipelines
- Define architectural best practices for generative AI risk mitigation
- Define business requirements for AI applications
- Design deployed solution maintenance for customer sites
- Design scalable architectures for generative AI workflows
- Document architecture designs workflows and decisions
- Ensure performance scalability security and data privacy compliance
- Implement APIs microservices and frameworks for AI integration
- Integrate generative AI into existing systems
- Maintain AI platforms for large scale applications
- Mentor engineering teams
- Oversee scalable AI development
- Select customize and optimize generative AI models
Perks/Benefits
- Adoption Assistance
- Disability benefits
- Employee assistance program
- Health Coach
- Life insurance
- Paid Holidays
- Paid parental leave
- Permissive time off
- Tuition assistance
Skills/Tech-stack
API Development | AWS | Azure | Azure OpenAI | Bedrock | CI/CD | Cloud platform | Compliance | Data Governance | Distributed tracing | Docker | GPU Acceleration | Generative AI | Google Cloud | Google Cloud Platform | GraphQL | Kubernetes | LLMOps | Language Models | Large Language Models | Lifecycle Management | Logging | MLOps | Metrics monitoring | Microservices | Model Distillation | Model Evaluation | Model Lifecycle | Model Lifecycle Management | Model Pruning | Model Quantization | Monitoring | Observability | Privacy | Prompt engineering | REST APIs | Retrieval-Augmented Generation | Security | TPU Acceleration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Architect | Architect | ML Architect | Senior AI/ML Architect
Regions
Countries
States
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