QA Automation Engineer with (Artificial Intelligence)

Role: AI Automation Engineer

Location: Charlotte NC (100% Onsite)

Duration: Long term Project

Job Description

Client is 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.

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