AI Developer Relations - Docs and Learning Experience

Job Details:

Job Description:

Intel is transforming to meet the demands of a rapidly changing world. We design and deliver industryleading technology that powers data centers, enables AI, and drives the future of computing. Join a team building the software and platforms developers use to deliver performance at scale.

The Developer Relations Experience serves as the primary owner of documentation and developer education for developers building AI solutions on Intel's current and future data center platforms.

This role owns the developer first experience end to end across the Intel AI stack, including quickstarts, golden paths, reference documentation, tutorials, samples, and structured learning paths, by writing and maintaining developer documentation, the sample-app gallery, site navigation, and a crawlable, agent-ready front door. Treats setup, runnable samples, and docs as one product, engineering docs-as-code with cold-start and link CI so a developer reaches first success in minutes with zero help.

The role makes documentation discoverable and usable by both developers and AI assistants through search optimization and agentready content, and partners with engineering and product so that every capability ships with a documented path that works on a first attempt. Strong technical writing, docsascode experience, enough Python literacy to run and validate samples, and the ability to communicate effectively with developers are essential.

Responsibilities:

• Own the developer experience and learning experience for the AI software stack on data center platforms, including inference microservices and the agentic toolkit.
• Design and maintain golden paths and curriculum that take a developer from a clean environment to a working result.
• Build and maintain docsascode pipelines and documentation CI, including link checking and coldstart testing of quickstarts.
• Write and maintain reference documentation, tutorials, and sample walkthroughs that assume no prior context.
• Optimize documentation for search (SEO and GEO) and for AI assistants and coding agents through agentready, LLMdigestible content.
• Instrument documentation analytics and convert findings into improvements to docs, samples, and tooling.
• Partner with engineering, product, and developer advocates so each new capability ships with tested documentation.

Qualifications:Minimum Qualifications

• Bachelor's degree with 3+ years experience in Computer Science, Computer Engineering, Technical Communication, or a related field or equivalent practical experience.
• Strong technical writing and information architecture skills for developer documentation.
• Hands on experience with docs-as-code workflows and documentation CI, including Git, Markdown or MDX, and doc build pipelines.