Senior Automation Engineer (Python, AI Agents & Automation)

Overview

What you will do

• Lead the design and implementation of automation supporting workflows across the documentation and software development lifecycle, including content creation, validation, publishing, UI localization, translation, and delivery.
• Design, build, and operate production-grade agents, skills, scripts, and automation pipelines that replace complex, manual, and repetitive processes across documentation, localization, and language operations.
• Architect and integrate systems across documentation, localization, and content platforms using MCPs and REST APIs to enable reliable, scalable, and secure end-to-end workflows.
• Apply AI and LLM-based capabilities to generate, validate, transform, enrich, and manage content in alignment with approved security, privacy, and compliance standards.
• Own the reliability, performance, and maintainability of automation systems through monitoring, troubleshooting, and continuous improvement.
• Define and contribute to standards, patterns, and reusable components that support consistent and scalable automation practices.
• Mentor team members through technical guidance, design reviews, and knowledge sharing.
• Partner cross-functionally to advance automation maturity, innovation, and AI-assisted documentation and localization workflows.
• Other duties may be assigned.

What we are looking for

AI Skills / Knowledge

• Strong experience using AI-assisted engineering tools (e.g., GitHub Copilot, Cursor) with awareness of responsible AI practices including security, privacy, bias, and traceability.
• Proven ability to design and operate production automation using Python and REST APIs.
• Hands-on experience building and maintaining automation pipelines using Git-based CI/CD systems.
• Demonstrated experience integrating LLMs via APIs to automate documentation and language operations.

Preferred Skills

• Experience designing or operating multi-agent or tool-orchestrated AI workflows at scale, including coordination and failure recovery.
• Experience owning or evolving shared automation frameworks used across multiple products or teams.
• Familiarity with observability, metrics, and cost tracking for AI-driven automation systems.
• Experience containerizing, deploying, or operating long-running automation or agent services in production environments.
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