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AWS Senior Architect
Job in
Denver, Denver County, Colorado, 80202, USA
Listed on 2026-07-01
Listing for:
ClifyX
Full Time
position Listed on 2026-07-01
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Enterprise Cloud And AI Ops Architect
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.
Key Responsibilities
- 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.
Required Skills and Qualifications
- Technical Expertise:
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.
- Experience:
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. - Education:
Bachelor's or Master's degree in Computer Science, Engineering, or related field
Position Requirements
10+ Years
work experience
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