AWS Senior Architect AI Ops Architecture
Job in
Denver, Denver County, Colorado, 80265, USA
Listed on 2026-06-03
Listing for:
AceStack
Seasonal/Temporary
position Listed on 2026-06-03
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Cloud Computing
Job Description & How to Apply Below
Position - AWS Senior Architect with AI Ops Architecture (15 years exp)
Location:
Denver, CO (Onsite )
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
- 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.
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.
- 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
Position Requirements
10+ Years
work experience
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