> Markdown version of [/jobs/ext/4324109-automation-engineer-ai-security-workflows-seattle-wa-on-site](https://www.wearedevelopers.com/jobs/ext/4324109-automation-engineer-ai-security-workflows-seattle-wa-on-site). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Automation Engineer - AI & Security Workflows Seattle, WA (on site) - **Company:** Red Oak Technologies, Inc. - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Code Generation, Cyber Security, Software Debugging, Perl (Programming Language), Software Engineering, SQL Databases, Scripting, Large Language Models, Swift (Programming Language), Model Context Protocol - **Published:** October 19, 2026 - **Apply:** https://www.nettemps.com/us/en/WE91E0534C96D03A168.ntap ## About the Role Approximately 3-4 years of relevant experience in automation, technical security operations, engineering, software development, or a related technical role. Demonstrated ability to turn manual, analyst-driven processes into repeatable automation. Hands-on experience applying AI or LLM tools to technical workflows, including prompt development and output validation. Working coding and Scripting skills, with the ability to read, modify, debug, and validate code independently. Experience with Swift, Perl scripting, and SQL, or transferable Scripting experience with the ability to learn the required tools. Location Seattle, WA, United States of America ## Description A large enterprise organization is seeking an Automation Engineer to support its Information Security core engineering team. This role focuses on transforming manual security risk tracking and remediation processes into reliable workflows using automation, internal tooling, and AI., Analyze manual security workflows and develop automation that reduces repetitive tracking, coordination, and reporting tasks. Use LLMs and AI tools to translate process requirements into functional automation, including developing and refining prompts. Review, troubleshoot, and validate AI-generated code and outputs for accuracy, security, and reliability. Write and maintain scripts using Swift, Perl, and SQL, as appropriate to the environment. Integrate tools and data sources through APIs and establish or configure Model Context Protocol (MCP) servers.