Intel currently has 84 active job listings related to artificial intelligence. The majority of these roles, 51%, are focused on serving infrastructure, with agents representing another significant portion at 24%. Engineering is the most frequent function for these positions. The company is actively hiring in the United States, China, and Mexico. Frequent technical tags include model serving, inference infrastructure, and agent orchestration. In the last 30 days, Intel has added 73 new AI roles, representing a 52% increase compared to the previous 30-day period.
Currently tracking 56 active AI roles, down 14% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $122k–$414k (avg $253k).
Intel currently has 67 active AI-related roles in our index. The most common open titles are: AI Software Engineering Intern (4), GenAI Software Solutions Engineer (3), AI Software Engineer Intern (2), Graduate Talent (GenAI Software Solutions Engineer) (2), Middleware Development Engineer (2). Most positions are in Engineering and Research.
Intel's active AI hiring is concentrated in: serving infrastructure (51%), agents (27%), application (9%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Intel is hiring AI talent in: United States (20 roles), China (12 roles), Mexico (9 roles), Malaysia (8 roles).
Job postings at Intel most frequently reference: model serving, inference infra, agent orchestration, rag, fine tuning.
In the past 30 days, Intel has posted 43 new AI-related roles. That is a -45% change versus the prior 30 days (78 → 43).
| Title | Stage | AI score |
|---|---|---|
| Senior Director, Data & Intelligence Senior Director to lead Enterprise Data & AI Enablement, reporting to VP of AI and Data. Drives strategic roadmap for data and AI capabilities, focusing on robust data foundations for advanced AI applications. Leads cross-functional teams, collaborates with AI leadership, and influences enterprise-wide data and AI strategy. Responsibilities include defining data strategy, overseeing data ingestion and engineering, enabling AI/ML with tooling and environments, developing knowledge products, integrating structured/unstructured data, and designing data models for BI and AI workloads. Also responsible for data governance, quality, literacy, and compliance. Requires proven experience with large-scale data platforms, enterprise applications, data architecture, warehousing, lakehouse technologies, and building AI-ready data foundations. Must demonstrate ability to drive enterprise-wide data strategy, influence senior leadership, build and scale data teams, and partner with AI/ML teams. Experience in regulated industries is preferred. | Data |