AI Agent Systems Application Engineer
Intel2 Locations$171k – $315kPosted 27 March 2026
Job Description
Job Details:
Job Description:
We develop some of the world’s most advanced semiconductor packaging technologies as part of Intel’s Foundry Technology Manufacturing (FTM) organization. Within the Advanced Packaging and Technology Manufacturing (APTM) group, you will join a team focused on developing AI‑driven solutions that transform every stage of advanced packaging development—from early design concepts to high‑volume manufacturing.
In this role, you will build Agentic components that integrate complex, multi‑disciplinary capabilities into a state‑of‑the‑art Agentic framework.
Key Responsibilities
Become an Agentic specialist
Study and understand how Agentic systems think, solve problems, interact with humans and other agents, and leverage tools. Translate these learnings into reference research and development workflows.
Be a jack‑of‑all‑trades
Integrate a broad range of simulation and analysis tools—including FEA, CFD, AI, reliability, and others—into scalable Agentic workflows.
Help shape the future
Anticipate industry advancements and design Agentic solutions that are future‑proof and adaptable to emerging technologies.
Solve real‑world problems
Partner with domain experts to architect Agentic solutions that address complex, real engineering challenges.
Enable scalable adoption
Collaborate with engineers to validate models and transition Agentic solutions into robust, scalable frameworks suitable for production environments
Behavioral traits:
• The ability to collaborate effortlessly with a diverse set of internal partner groups
Qualifications:
You must possess the requirements below to be considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
Master’s degree in a STEM field with 5 years of relevant experience, OR PhD degree in a STEM field with 3 years of relevant experience
Experience listed above could be in any of the following:
Experience designing and deploying multi-agent or agentic AI systems
LLMs and their applications
Demonstrated ability to lead technical direction, mentor other engineers, and drive cross-functional alignment around a common vision.
Strong Python and other numerical programming languages
Preferred Qualifications:
• Experience in distributed systems and AI infrastructure
• Experience applying ML models to solve industry problems, including PINNs, Bayesian Optimization, or similar
• Familiarity with vector databases, knowledge graphs, or semantic layers to provide agents with governed access to enterprise knowledge.
• Experience integrating AI agents with enterprise tools and data systems, preferably in engineering, hardware development, or manufacturing environments
• Ability to bridge physics and numerical models with Agentic systems
• A working understanding of the core components to an agent orchestration platform
• Strong system design mindset, balancing technical rigor with practical adoption
• Experience in the Semiconductor or Advanced Packaging Industries
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
US, Oregon, Hillsboro
Business group:
Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the co ... (truncated, view full listing at source)
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