

Realign LLC
AWS Senior Architect with AI Ops Architecture (15 Years Exp)-6
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Senior Architect with AI Ops Architecture, requiring 15 years of experience. It's a contract position in Denver, CO, with a focus on AWS, AI technologies, and open-source frameworks. A degree in Computer Science or Engineering is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
560
-
ποΈ - Date
March 13, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Denver, CO
-
π§ - Skills detailed
#Automation #DevOps #Langchain #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Anomaly Detection #Computer Science #Data Science #Leadership #SageMaker #Scala #Cloud
Role description
Denver, Colorado 80014 Posted March 12th, 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:
Bachelorβs or Masterβs degree in Computer Science, Engineering, or related field
Required Skills
PERFORMANCE ARCHITECT
Denver, Colorado 80014 Posted March 12th, 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:
Bachelorβs or Masterβs degree in Computer Science, Engineering, or related field
Required Skills
PERFORMANCE ARCHITECT





