Agentic AI Lead

Infosys Pontoon • Dallas, TX

4d • Onsite

About The Position

The role involves building intelligent AI agents capable of autonomous decision-making, incident analysis, remediation recommendations, workflow orchestration, and operational support across cloud-native ecosystems. The candidate will work closely with cloud, application, and platform engineering teams to deliver scalable AI-driven operations solutions.

Requirements

• Agentic AI / AI Agents development and orchestration
• LLM-based solution design and knowledge frameworks
• Azure Cloud and Kubernetes
• MuleSoft and REST API integrations
• AI-driven monitoring, support, and automation
• AI Ops Knowledge
• Enterprise application and cloud operations
• Telecom/OSS Domain is mandatory
• 10 years of experience

Nice To Haves

• RAG and AI knowledge management frameworks
• AIOps and intelligent automation solutions
• GenAI governance and observability
• Python automation and scripting
• Cloud-native architecture and DevOps practices

Responsibilities

• Design and implement an Agentic AI framework for Cloud Infrastructure and Application Operations.
• Build and orchestrate AI agents for monitoring, diagnostics, knowledge retrieval, incident triaging, remediation, and operational automation.
• Develop knowledge frameworks utilizing enterprise documentation, operational runbooks, and support processes.
• Integrate AI agents with enterprise platforms and operational tools using APIs.
• Enable AI-driven automation for cloud monitoring, observability, application support, and operational intelligence.
• Collaborate with Cloud and Platform Engineering teams to architect scalable and secure AI-enabled solutions.
• Design reusable frameworks, accelerators, and governance models for AI-based operations.
• Support Azure cloud environments, Kubernetes platforms, MuleSoft integrations, and enterprise application ecosystems.
• Mentor engineering teams and drive adoption of AI-driven operational practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed