Architect

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. #J-18808-Ljbffr