AI Platform and Agentic Engineer
Intel · Posted Nov 4
Semiconductor manufacturing, microprocessors, data center solutions, and artificial intelligence infrastructure
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About the role
Intel's Design Quality and Reliability organization is seeking an AI Platform Engineer to architect and build an enterprise-grade AI platform for mission-critical engineering work. The platform will let Intel engineers analyze design, qualification, and reliability data, automate engineering workflows, access organizational knowledge, and make evidence-based decisions across the product lifecycle. The role involves building reusable platform capabilities, AI agents and workflows, production backend services, and secure integrations with engineering databases, quality-management systems, and internal tools.
What you will do
- Architect and develop Intel's reusable AI platform for Design Quality and Reliability.
- Build AI agents and workflows for engineering data analysis, qualification planning, risk assessment, knowledge retrieval, reporting, and process automation.
- Apply Agentic AI coding assistants to accelerate software development while maintaining rigorous engineering review and validation.
- Integrate AI capabilities with Intel engineering databases, quality-management systems, internal APIs, spreadsheets, documentation repositories, and workflow tools.
- Develop production-grade backend services, APIs, data pipelines, model gateways, and agent-orchestration components.
- Establish shared platform capabilities for identity, access control, tool authorization, memory, observability, evaluation, and auditability.
- Implement human approval, deterministic validation, and rollback controls for consequential engineering actions.
- Design evaluation frameworks using representative Intel Design Quality and Reliability use cases.
- Establish automated testing, CI/CD, secure configuration, monitoring, documentation, and operational-support practices.
- Ensure compliance with Intel requirements for intellectual-property protection, data classification, cybersecurity, privacy, and responsible AI.
- Partner with domain experts to translate engineering workflows into scalable platform capabilities.
- Mentor engineers in agentic software engineering and the responsible use of AI-assisted development tools.
Skills used in this role
What the employer is looking for
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field.
- Significant experience in software engineering, AI engineering, platform engineering, or solution architecture.
- Advanced Python development skills and experience building production APIs and backend services.
- Demonstrated proficiency with Agentic AI coding assistants such as Claude Code, or comparable agentic software-development platforms.
- Experience developing LLM applications, AI agents, tool-calling systems, retrieval pipelines, and structured model outputs.
- Strong knowledge of software architecture, data modeling, design patterns, automated testing, version control, and code review.
- Experience with CI/CD, logging, monitoring, secrets management, access control, and production operations.
- Ability to design secure, reliable, scalable, and maintainable enterprise systems.
- Strong written and verbal communication skills, including the ability to collaborate with multidisciplinary engineering teams.
Preferred qualifications
- Master's degree in a relevant engineering or computer science discipline.
- Experience in semiconductor design, silicon validation, product qualification, Design Quality and Reliability, failure analysis, or manufacturing.
- Familiarity with reliability topics such as device aging, electromigration, ESD, latch-up, TDDB, soft-error reliability, and high-voltage qualification.
- Experience with statistical analysis, engineering data pipelines, scientific visualization, and large engineering datasets.
- Experience integrating enterprise databases, document repositories, laboratory systems, and quality-management platforms.
- Familiarity with containers, cloud or on-premises platforms, relational databases, vector search, caching, and asynchronous processing.
- Experience with AI evaluation, prompt testing, model observability, governance, and responsible-AI controls.
- Experience building systems that require traceability, reproducibility, audit readiness, and protection of confidential intellectual property.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Intel
Intel Corporation is a global technology leader focused on the design and manufacturing of microprocessors, integrated circuits, and advanced data center infrastructure. The company drives innovation across personal computing, artificial intelligence, and cloud ecosystems while operating a major semiconductor foundry business. Intel delivers foundational silicon and packaging solutions that power modern digital infrastructure worldwide.
- Industry
- Semiconductors
- Company size
- 10001+ employees
- Founded
- 1968
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Leadership
Lip-Bu Tan
Chief Executive Officer
Executive Vice President and Chief Financial Officer
Pushkar Ranade
Chief Technology Officer and Chief of Staff to the CEO
Executive Vice President – Chief Technology and Operations Officer, General Manager Intel Foundry
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