AWS Architect (AI Ops) || H1B Allowed

Job Description

**Position: AWS Architect (AI Ops)**

**Location: Denver, CO (Onsite) // H1B Allowed**

**Duration: 12+ Months**

**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, 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**

**Thank You**

**Aakash Dubey**

**Talent Acquisition Lead**

**Aakash.dubey@ampstek.com**