Architect

Signature IT World Inc; Colorado; On-site; USD 130,000 - 160,000; Part time

Job summary

A technology consulting firm is seeking an AWS Senior Architect to design AI-driven operational frameworks and cloud-native architectures in Denver. The ideal candidate will have over 8 years of enterprise cloud architecture experience with a strong focus on AWS and AI technologies. Responsibilities include implementing automated solutions and working collaboratively with cross-functional teams. This contract position offers a chance to drive innovative AI Ops solutions.

Qualifications

• Minimum 8+ years in enterprise cloud architecture.
• At least 3+ years in AI Ops and GenAI solutions.

Responsibilities

• Architect AI Ops solutions leveraging AI-driven frameworks.
• Implement MLOps pipelines and fault detection models.
• Work with cross-functional teams to deliver AI Ops solutions.

Skills

Expertise in AWS

AI methodologies

MLOps technologies

Analytical skills

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

AWS (SageMaker, Bedrock, Comprehend)

LangChain

LangFuse

Llama 3.2 LLM

open-source AI frameworks

Job description

Role: AWS Senior Architect

Employment: Contract

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.
• 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.

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, LangFuse, 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.