AWS Senior AI Architect; Enterprise Cloud and AI Ops Architect
Listed on 2026-02-10
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Overview
Title:
AWS Senior AI Architect(Enterprise Cloud and AI Ops Architect)
Job Type: Contract
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.
Responsibilities- 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.
Skills and Qualifications
- 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.
Soft Skills- 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
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