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.
  • Team & Capabilit...
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