Enterprise Architect – Emerging Technologies & Innovation (Python & AI)
Tasks
- Architect Claude API and Claude Code solutions
- Architect Microsoft AI stack rollout and adoption
- Conduct vendor evaluations and total cost of ownership analysis
- Define AI adoption vision and strategy
- Design end to end LLM solutions with RAG and fine tuning
- Develop AI impact cost and risk measurement dashboards
- Establish AI ML architectural standards patterns and guardrails
- Evaluate benchmark and recommend AI platforms and model options
- Lead AI proof of concept design execution evaluation
- Partner with data security and infrastructure teams for AI integration
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | AI Search | API Integration | Agentic AI | Artificial Intelligence | Autogen | Azure AI | Azure AI Search | Azure Logic | Azure Logic Apps | Azure Machine Learning | Boomi | CoPilot Agents | Copilot Cowork | Copilot Studio | Data Lakes | Enterprise Integration | Enterprise Integration Patterns | Entra ID | Fine Tuning | Generative AI | GitHub Copilot | Integration Patterns | LLMOps | Lakehouse | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Logic Apps | MLOps | MLflow | Machine Learning | Microsoft 365 | Microsoft 365 Copilot | Microsoft Entra | Microsoft Entra ID | Microsoft Fabric | Microsoft Graph | Model Governance | MuleSoft | PGVector | Pinecone | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | Semantic Kernel | Streaming Pipelines | Vector Databases | Weaviate
Education
Roles
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