AI Senior Architect

Position - AI Senior Architect

Location: Denver, CO (No Remote)

Duration: Long term

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