

Realign LLC
AWS Senior Architect with AI Ops Architecture (15 Years Exp)-5
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Senior Architect with AI Ops Architecture in Denver, CO, on a contract basis. Requires 15 years of experience, expertise in AWS and AI technologies, and proficiency in MLOps. A Bachelor’s or Master’s in Computer Science or related field is needed.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
560
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🗓️ - Date
February 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Denver, CO
-
🧠 - Skills detailed
#Scala #Anomaly Detection #SageMaker #DevOps #Automation #Data Science #Langchain #Computer Science #Cloud #Leadership #AWS (Amazon Web Services) #AI (Artificial Intelligence)
Role description
Denver, Colorado 80014 Posted February 13th, 2026
Looking for more job opportunities? Click here!
Job Type: Contract
Job Category: IT
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
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, 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.
Required Skills and Qualifications Technical Expertise:
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.
Experience:
Minimum 8+ years in enterprise cloud architecture, with at least 3+ years in AI Ops and GenAI solutions.
Education:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Required Skills
PERFORMANCE ARCHITECT
Denver, Colorado 80014 Posted February 13th, 2026
Looking for more job opportunities? Click here!
Job Type: Contract
Job Category: IT
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
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, 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.
Required Skills and Qualifications Technical Expertise:
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.
Experience:
Minimum 8+ years in enterprise cloud architecture, with at least 3+ years in AI Ops and GenAI solutions.
Education:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Required Skills
PERFORMANCE ARCHITECT




