AI Automation Engineer
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Job Location:
Charlotte, VT - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Role : AI Automation Engineer
Location : Charlotte NC (100% Onsite)
Job Description
We are seeking a highly skilled Automation Engineer to design build and evolve intelligent API-driven automation solutions that eliminate manual toil acceleratedelivery 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.
The ideal candidate thrives in complex environments partners closely with engineering SRE and platform teams and brings a forward-looking mindset to AI-augmented
automation while maintaining enterprise-grade security reliability and governance.
Required Qualifications:
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
Preferred Qualifications:
Experience building or consuming Agentic AI systems including coordinating multiple AI agents via API endpoints
Familiarity with LLM-based services AI orchestration patterns or AI-assisted decision workflows
Experience with containerization and platforms such as Docker Kubernetes or OpenShift
Exposure to event-driven architectures async workflows or job-based automation models
Experience in financial services or other highly regulated enterprise environments
Strong documentation and communication skills with the ability to explain complex automation and AI concepts to diverse stakeholders
Nagendra
US IT Recruiter TROR LLC
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