AI Operations Engineer, AI Agent, AI Tool

About the Role

Join the Cisco Mobility Services organization, part of the Mass-Scale Infrastructure Group. Cisco IoT Control Center is the #1 market-leading cellular connectivity management platform. Our global organization is responsible for end-to-end engineering and operations of the Control Center product, including feature development, releases, production operations, and customer support. Cisco’s IoT organization supports more than 300 million connected devices every day, driving digital experiences, infrastructure management, and automation across the IoT portfolio.

In this role, you will build AI-powered tools for Agentic Operations and the agentic platform, helping teams operate complex systems with greater efficiency, reliability, and speed.

Key Responsibilities

• Build and evolve AI-powered operational tools and agentic platform capabilities for specific domains, automating and optimizing SRE operations.
• Develop agentic workflows that apply AI and machine learning to risk and incident management, anomaly detection, root cause analysis, and problem-solving.
• Design custom monitoring solutions for AI workloads and deployment architectures, integrating with existing monitoring frameworks and APIs.
• Combine monitoring signals with machine learning and statistical analysis to detect anomalies, identify threats, and surface infrastructure problems in real time.
• Implement automated testing, integration, and deployment for AI models and applications; use model versioning and pipeline orchestration to improve reliability.
• Partner with data scientists, software engineers, and infrastructure and operations teams to integrate solutions into existing systems and ensure reliability, scalability, and performance.
• Conceptualize, develop, deploy, and continually refine machine learning models and AI agents for operational use cases.
• Automate routine work, measure and report on KPI gains, incident reduction, and system performance, and continuously improve AI Ops tools and processes.

Requirements & Tech Stack

• Bachelor’s degree and 7+ years of related experience, or a master’s degree and 4+ years of related experience, or a PhD and 1+ year of related experience.
• Strong software engineering experience building and delivering operational software tools or platform capabilities.
• Working experience building operational tooling.
• Working experience developing monitoring solutions tailored to anomaly detection.
• Working experience with AI models and AI coding tools.
• Working experience building AI agents or agentic systems.