Enterprise AI Architect
Remote (United States), United States
R
USD 137K-220K Senior-level Full Time
Tasks
- Align AI initiatives to enterprise strategy and roadmaps
- Define AI security privacy and compliance controls
- Define enterprise AI architecture standards
- Design scalable AI platforms and solutions
- Develop AI reference models and guidelines
- Ensure secure AI architecture with data protection
- Establish reusable APIs and integration patterns
- Evaluate and select AI ML models frameworks and vendors
- Identify and prioritize AI opportunities for efficiency
- Implement AI governance for responsible use
- Implement model lifecycle management with monitoring and drift detection
- Implement performance bias and risk monitoring
- Integrate AI capabilities with enterprise applications
- Lead design and implementation of AI powered solutions
- Lead workshops POCs demos and adoption projects
- Mentor teams on AI best practices
- Provide architectural guidance to delivery teams
- Provide guidance for AI ML and automation architectures
- Support data application and technology integration
Perks/Benefits
- Dental insurance
- Employer-funded retirement
- Free tuition program
- Medical insurance
- Mental health resources
- Paid Holidays
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
APIs | Agile | Amazon Web Services | Azure | CI/CD | Cloud platform | Data Pipelines | Drift Detection | Enterprise Architecture | Generative AI | Google Cloud | Google Cloud Platform | LLMOps | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microservices | Model Monitoring | Natural Language | Natural Language Processing | PyTorch | RAG | Retrieval-Augmented Generation | System Integration | TOGAF | TensorFlow | Web Services | Zachman
Education
N/A
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