AI Automation Engineer

Job

Lorven Technologies, Inc.

Charlotte, NC (In Person)

Full-Time

Posted 2 days ago (Updated 10 hours ago) • Actively hiring

Expires 6/28/2026

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Job Description

Our client is looking AI Automation Engineer in Charlotte NC below is the detailed requirements.

Job Title :

AI Automation Engineer Location :

Charlotte NC Long Term Seeking a highly skilled Automation Engineer to design, build, and evolve intelligent, API-driven automation solutions that eliminate manual toil, accelerate delivery, and improve operational resilience across enterprise platforms. This role requires deep expertise in scripting (preferably Python), strong experience working with

REST/JSON

APIs, and hands-on ability to leverage Agentic AI frameworks by orchestrating AI agents through API endpoints to drive autonomous workflows, decision-making, and self-healing automation . Job Description Bachelor's degree in Computer science or equivalent, with minimum 12+ Years of Overall IT experience. Strong experience in Python and Shell scripting for automation , orchestration, and systems integration Hands-on experience working with REST APIs, JSON payloads, authentication mechanisms, and API lifecycle management Solid understanding of automation frameworks, CI/CD pipelines, and DevOps practices Experience integrating automation with infrastructure, middleware, or application platforms Strong problem-solving skills with the ability to analyze manual processes and convert them into scalable automation solutions Ability to work effectively in a large, complex enterprise environment Key Responsibilities Design, develop, and maintain end-to-end automation solutions using Python and other scripting languages to eliminate manual and repetitive operational tasks. Build API-first automation by integrating internal and external systems using RESTful services, webhooks, and event-driven patterns Implement Agentic AI workflows by orchestrating AI agents via API endpoints to perform autonomous tasks such as remediation, validation, orchestration, and decision support Develop automation that integrates with CI/CD pipelines, infrastructure platforms, middleware, and application ecosystems Collaborate with Site Reliability Engineering (SRE), Platform Engineering, and Application teams to automate reliability, resiliency, and operational insights Create reusable automation frameworks, libraries, and services that scale across portfolios and lines of business Ensure automation solutions follow enterprise standards for security, auditability, resiliency, and compliance Document automation designs, AI agent behaviors, APIs, and operational runbooks to support long-term maintainability Continuously evaluate emerging automation and AI technologies and introduce innovations that improve efficiency and developer experience