AWS Senior Architect with AI Ops Architecture (15 years exp)-9

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Job Type: Contract

Job Category: IT

Job Description

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.
Cloud Architecture Leadership: Build enterprise-grade solutions leveraging AWS services.
Open-Source AI Frameworks: Implement MLOps pipelines using embeddings, fault detection models, LangGraph, and vLLM.
Advanced AI Development: Hands-on experience with LangChain, LangFuse, 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 DevOps 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 (SageMaker, Bedrock, Comprehend )
Strong knowledge of open-source MLOps technologies (embeddings, fault detection models), LangGraph, vLLM.
Hands-on experience with LangChain, 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

Required Skills

PERFORMANCE ARCHITECT