AI Engineer – AIOps Lead at eTeam in Dallas, TX
- Company: eTeam
- Location: Dallas, TX
- Posted: Sep 18, 2026
- Type: Contract
- Experience: 10+ years
Overview
Job Title:AI Engineer – AIOps Lead Work Location & Reporting Address: Dallas, TX or Bothell, WA Interview Mode- In-person Interview Contract duration: 6 Months ⦁The role involves building intelligent AI agents capable of autonomous decision-making, incident analysis, remediation recommendatio…
Job description
- Job Title:AI Engineer – AIOps Lead
- Work Location & Reporting Address: Dallas, TX or Bothell, WA
- Interview Mode- In-person Interview
- Contract duration: 6 Months
- ⦁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.
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.
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
- ⦁Skill Mix: 60% AI / Agentic AI, 40% Cloud & Enterprise Technology.
- ⦁8 to 10 years
- ⦁None
- ⦁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
Skills
Required
- Azure Cloud and Kubernetes
- MuleSoft and REST API integrations
- AI Ops Knowledge
- Telecom/OSS Domain
Preferred
- GenAI governance and observability
- Python automation and scripting