AI Architect
Tasks
- Align solutions with Data and AI platform services and standards
- Apply MLOps LLMOps and AgentOps practices
- Collaborate across teams for production ready deployments
- Conduct design reviews and quality assurance
- Continuously evolve architectural standards platform capabilities and shared services
- Create reusable design patterns and reference architectures
- Define components workflows integration patterns
- Design end-to-end AI application architectures
- Embed governance security and Responsible AI principles
- Ensure scalability security privacy resilience performance
- Integrate retrieval augmented generation and agent orchestration
- Support AI solution industrialization
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | AgentOps | Artificial Intelligence | Cloud Computing | Data platforms | DevOps | Evaluation Frameworks | Generative AI | Governance | Integration Patterns | LLM Integration Patterns | LLM integration | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Performance Engineering | Privacy Engineering | Resilience Engineering | Retrieval-Augmented Generation | Scalability | Security Architecture
Education
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