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Agentic AI Engineer

ASCII Group LLCDallas, TX🇺🇸United StatesPosted Sep 17, 2026

Why This Role Stands Out

This Agentic AI Engineer role offers a fantastic opportunity to shape the future of AI-driven operations within a reputable company, focusing on cutting-edge AI agent frameworks and Azure cloud integration. If you have a strong background in AI, LLMs, and telecom/OSS, and thrive on developing innovative solutions, you'll find this position both challenging and rewarding with a competitive hourly rate. Apply today to join a team at the forefront of technological advancement!

Quick Overview

Salary
$57/hr
Seniority
Mid Senior
Work mode
On Site
Location
Dallas, TX, United States
Posted
22 hours ago
AzureKubernetesLLMREST

Job Description

The following requirement is open with our client.

Title                                      : Agentic AI Engineer

Location                               : Dallas, TX or Bothell, WA – Onsite

Rate                                       :  $57/hr on C2C

Duration                              : 12 Months

Interview: Virtual, with possible face-to-face

Detailed Job Description

We are looking for an AI Ops Engineer / Technology Lead with strong experience in Agentic AI, AI Agents, Azure Cloud, Kubernetes, and enterprise operations. The candidate will design and implement AI-driven solutions for cloud and application operations, including incident analysis, diagnostics, remediation recommendations, knowledge retrieval, and workflow automation.

Telecom/OSS domain experience is mandatory. The role has an approximate 60% AI/Agentic AI and 40% Cloud & Enterprise Technology focus.

Key Responsibilities

  • Design and implement Agentic AI frameworks for cloud infrastructure and application operations.
  • Build and orchestrate AI agents for monitoring, diagnostics, incident triaging, knowledge retrieval, remediation, and automation.
  • Develop enterprise knowledge frameworks using documentation, runbooks, and support processes.
  • Integrate AI agents with enterprise platforms and operational tools through APIs.
  • Enable AI-driven automation for monitoring, observability, application support, and operational intelligence.
  • Collaborate with Cloud and Platform Engineering teams to build scalable and secure AI solutions..

Must Have Skills

  • .Agentic AI / AI Agents
  • LLM / GenAI Solution Design
  • Azure + Kubernetes
  • MuleSoft + REST APIs
  • Telecom/OSS + AIOps

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