Role : AI Automation Engineer
Location : Charlotte NC (100% Onsite)
Hire Type : Contract
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
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