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Aiops Engineer

🌐 Remote💼 Full-time🗓 2026-07-26

Core

Design and implement AI-powered agentic automation solutions to optimize enterprise infrastructure operations.

Role type

Lead AI Ops Engineer (Agentic Automation)

Builds

Scalable AI/Agentic automation frameworks and solutions for enterprise infrastructure

Domain

Enterprise Infrastructure, Cloud Operations, AI/ML Engineering

Deliverable

production ML models

Required skills

Python, Cloud infrastructure management, AI/ML framework integration, Agentic workflow design, Stakeholder collaboration, End-to-end solution delivery

Preferred skills

JavaScript, Java, Scala, R, Databricks, MLflow, LangChain, LangGraph, LLaMA, Cohere, DBRX, Google ADK, MCP, A2A, Argo

Technologies

Python, AWS, Azure, GCP, Databricks, MLflow, LangChain, LangGraph, LLaMA, Cohere, DBRX, Google ADK, MCP, A2A, Argo

Responsibilities

Identify automation opportunities across Cloud & Enterprise Infrastructure, Design & build AI/Agentic solutions aligned with AIOps frameworks, Collaborate with Principal Engineers / Directors on high-impact initiatives, Own end-to-end delivery from problem identification to deployment

Seniority

Lead, hands-on IC with strategic ownership

Rewrite
## About the Role We're looking for a hands-on Lead AI Ops Engineer to drive AI-powered automation across enterprise infrastructure. This role involves working closely with senior stakeholders to identify opportunities and implement Agentic / AIOps solutions at scale. ## Responsibilities - Identify automation opportunities across Cloud & Enterprise Infrastructure - Design & build AI/Agentic solutions aligned with AIOps frameworks - Collaborate with Principal Engineers / Directors on high-impact initiatives - Own end-to-end delivery: Problem → Solution → Deployment ## Tech Stack ### Must - Python ### Good to have - JavaScript - Java - Scala - R ### AI/ML - Databricks - MLflow ### Frameworks - LangChain - LangGraph - LLaMA - Cohere - DBRX ### Cloud - AWS - Azure - GCP ### Others (Plus) - Google ADK - MCP - A2A - Argo ## Requirements - 6+ Years of experience - Strong engineering maturity & ownership - Experience in AI-driven automation / AIOps - Ability to work directly with senior technical stakeholders ## What We Offer Work on cutting-edge AI Ops & Agentic automation in a large-scale enterprise environment with high visibility. ## About the Company www.fx31labs.com
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