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# engineer driving AI-enabled modernization

- **Company:** Randstad
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $124,280.0 - $145,080.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Customer Information Control System (CICS), IBM DB2, Python (Programming Language), Mainframes, Systems Integration, Software Vulnerability Management, Z/OS, Build Management
- **Published:** August 6, 2026
- **Apply:** https://www.dice.com/job-detail/c7338f29-86ff-4dbc-b8f0-8b9ba2ff68fd

## About the Role

Hands-on experience developing AI/agent-based automation frameworks and agents

Strong Python programming skills in enterprise environments.

Experience operating in large-scale enterprise infrastructure environments

Desired Skills:

Experience with agent-based or autonomous system architectures.

Exposure to AIOps or AI applied to mainframe infrastructure operations.

Experience developing and integrating programs with z/OSMF and z/OS Connect APIs.

Experience with mainframe tooling supporting end-to-end vulnerability patching.

10+ years of experience in mainframe infrastructure engineering, including z/OS, IMS, CICS, and DB2 installation and testing.

## Description

Senior engineer driving AI-enabled modernization of mainframe z/OS vulnerability patching through development of agent-based automation to accelerate remediation and reduce security risk.

Lead the design and development of AI-driven automation frameworks for z/OS patching.

Build and deploy agent-based workflows to orchestrate vulnerability remediation at scale.

Integrate AI agents with mainframe systems, APIs, and security tooling.

Partner with infrastructure and security teams to prioritize and execute patching initiatives.

Ensure reliability, scalability, and operational readiness of automation solutions., Senior engineer driving AI-enabled modernization of mainframe z/OS vulnerability patching through development of agent-based automation to accelerate remediation and reduce security risk.

 * Lead the design and development of AI-driven automation frameworks for z/OS patching.
 * Build and deploy agent-based workflows to orchestrate vulnerability remediation at scale.
 * Integrate AI agents with mainframe systems, APIs, and security tooling.
 * Partner with infrastructure and security teams to prioritize and execute patching initiatives.
 * Ensure reliability, scalability, and operational readiness of automation solutions.


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