AI Ops Architect; AWS USC

Overview

Duration: 12+ Months

We are looking for a highly skilled Enterprise Cloud and AI Ops Architect to join our team in Denver. This role is pivotal in designing and implementing AI-driven operational frameworks and cloud-native architectures that enable autonomous networks and intelligent automation. The ideal candidate will have deep expertise in AWS, AI/GenAI technologies, and open-source AI frameworks/LLMs, with hands-on experience in building scalable, secure, and innovative solutions.

• Architect AI Ops Solutions:
  Design and implement AI-driven operational frameworks for predictive analytics, anomaly detection, and automated remediation.
• 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.

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field