AI Intern

Title: Devops AI Engineer Location: Charlotte, NC (Day 1 Hybrid 3 days office in a week) Only locals required No Relocation Visa: Any Visa Experience: 10+Yrs Need to Share live location at the time of submission Job Description Implement Agentic AI workflows by orchestrating AI agents via API endpoints to perform autonomous tasks such as remediation, validation, orchestration, and decision support. 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. 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 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 For applications and inquiries, contact: View email address on click.appcast.io #J-18808-Ljbffr