AI Developer Relations - Docs and Learning Experience

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., * 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., This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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., * 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.
• Experience optimizing technical content for search (SEO and GEO) and for AI assistants.
• Python literacy sufficient to run and validate AI samples, with working familiarity with the AI software stack.

Preferred Qualifications:

• Excellent written and verbal communication with technical audiences.
• Ability to translate developer feedback into documentation, samples, and product improvements.

We invite you to bring your passion for AI and innovation to Intel. Apply today to be part of a team driving the next wave of intelligent technology solutions.

Job Type

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .

Annual Salary Range for jobs which could be performed in the US: $149,750.00-275,580.00 USD

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.