AI Ops Engineer

The candidate will work closely with cloud, application, and platform engineering teams to deliver scalable AI-driven operations solutions. Collaborate with Cloud and Platform Engineering teams to architect scalable and secure AI-enabled solutions.

Job Title: AI Ops Engineer
Work Location: Dallas, TX or Bothell, WA
Contract duration: 06 Months

Detailed Job Description:
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.

Key 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.

Must Have Skills:
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
Skill Mix: 60% AI / Agentic AI, 40% Cloud & Enterprise Technology.

Nice to Have Skills:
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

Minimum Years of Experience: 6 to 7 years