AI Architect
Summary
Designs and implements generative and agentic AI architectures, MLOps/LLMOps pipelines, and AI platform standards for industrial use cases.
- Create MLOps and LLMOps lifecycle approach
- Define generative AI architecture roadmap
- Define responsible AI privacy compliance and auditability requirements
- Design agentic AI architecture patterns
- Design secure and resilient AI applications
- Develop data foundations architecture
- Document AI assets and decisions in LeanIX
- Establish AI platform standards and guardrails
- Guide solution teams on technology selection and deployment
- Implement observability and monitoring strategy
- Industrialise AI use cases with versioning evaluation and reliability controls
- Plan integration and interoperability