NeerInfo Solutions · 18 hours ago
AI Ops Architect
NeerInfo Solutions is seeking an AI Ops Architect to interface with key stakeholders and apply technical proficiency across different stages of the Software Development Life Cycle. The role involves creating high-level design artifacts, delivering high-quality code, and leading validation for testing and support activities related to implementation and transition.
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Responsibilities
Interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design
Play an important role in creating the high level design artifacts
Deliver high quality code deliverables for a module
Lead validation for all types of testing and support activities related to implementation, transition and warranty
Be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued
Qualification
Required
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
Enterprise cloud architecture, with in AI Ops and GenAI solutions
Preferred
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