Job Description
Job Description
REQUIREMENT:
Total years of experience 13 to 15 years. AI Architecture Design Architect scalable AI ecosystems covering RAG, data pipelines, MCP, and agentic AI. Data & Knowledge Infrastructure Ownership Define how data flows into embeddings, vector stores, and retrieval layers for context-aware systems. MLOps & Cloud Governance Set up CI/CD, monitoring, and cost-optimization for AI workloads across Azure/GCP/AWS. Modal Context Protocol (MCP) Integration Build interoperability between AI systems, enterprise data, and delivery tools. RAG Strategy & Data Governance Define RAG templates, data governance standards, and retrieval optimization frameworks. Concept-to-MVP Leadership Deliver AI MVPs in 90-day cycles with measurable ROI and governance alignment. Accelerator Ownership Build reusable RAG pipelines, prompt templates, and orchestration accelerators. Tea...
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