AWS Senior Architect AI Ops Architecture

AWS Senior Architect with AI Ops Architecture (15 Years Exp)

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This role is for an AWS Senior Architect with AI Ops Architecture in Denver, CO, on a contract basis. Requires 15 years of experience, expertise in AWS and AI technologies, and proficiency in MLOps. A Bachelor’s or Master’s in Computer Science or related field is needed.

Location:

Denver, CO (Onsite)

• Architect AI Ops Solutions:
  Design and implement AI-driven operational frameworks for predictive analytics, anomaly detection, and automated remediation.
• Cloud Architecture Leadership:
  Build enterprise-grade solutions leveraging AWS services.
• Open-Source AI Frameworks:
  Implement MLOps pipelines using embeddings, fault detection models, Lang Graph, and vLLM.
• Advanced AI Development:
  Hands‑on experience with Lang Chain, Lang Fuse, Llama 3.2 LLM, and RAG-based architectures.
• Agentic AI & MCP:
  Drive implementation of Agentic AI systems and Model Context Protocol (MCP), A2A for intelligent orchestration.
• Collaboration:
  
  Work closely with cross‑functional teams including Cloud Engineering, Data Science, and Dev Ops to deliver end‑to‑end AI Ops solutions.

• Hands‑on experience with AWS services.
• Working knowledge of AI/GenAI for autonomous networks.
• Proficiency in AWS AI (Sage Maker, Bedrock, Comprehend).
• Strong knowledge of open‑source MLOps technologies (embeddings, fault detection models), Lang Graph, vLLM.
• Hands‑on experience with Lang Chain, Lang Fuse, Llama 3.2 LLM, and RAG architectures.
• Experience in Agentic AI implementation and MCP, A2A.
• Minimum 8+ years in enterprise cloud architecture, with at least 3+ years in AI Ops and GenAI solutions.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

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