Enterprise AI Architect
Summary
Design and lead the enterprise AI platform, including generative AI, RAG, and multi-agent systems, while ensuring governance, security, and MLOps best practices.
- Architect Azure AI platform solutions
- Conduct AI cost monitoring and ROI analysis
- Create reusable AI solution standards and patterns
- Define AI use case selection criteria
- Define enterprise AI architecture roadmap
- Design RAG solutions
- Design multi agent solutions with human in the loop
- Design secure data pipelines and APIs
- Establish AI governance risk and compliance standards
- Implement ALM LLMOps and MLOps practices
- Implement prompt injection safeguards
- Integrate trusted enterprise data sources
- Lead architecture for generative AI and AI agents
- Protect AI models and data workflows with access controls and audit trails
- Provide technical leadership for agile delivery teams
- Set up monitoring versioning telemetry and model evaluation