Enterprise AI Architect
Itasca, IL, United States
USD 139K-220K (estimate) Senior-level Full Time
Tasks
- 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
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | AI Agents | AI Foundry | Access Management | Agent systems | Azure AI | Azure AI Foundry | Azure Machine Learning | Azure OpenAI | Cloud Architecture | Connectors | Copilot Studio | Enterprise Integration | Generative AI | Governance | Human-in-the-loop | Identity & Access | Identity & Access Management | LLMOps | MCP | MLOps | Machine Learning | Microsoft Fabric | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Power Platform | Prompt engineering | RAG | Secure APIs | Security | Telemetry | The Loop | Version control
Education
N/A
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