AI Automation Engineer

Role : AI Automation Engineer

Location : Charlotte NC (100% Onsite

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