Packaging and Test Business Group (PBG) - AI Business and Solution Department is a newly established organization responsible for developing enterprise systems, AI solutions, and advanced analytics to support PBG business initiatives.
We are seeking an experienced AI Software Development Engineer to strengthen our capabilities in AI system development, Large Language Model (LLM) and Agent AI integration, and DevOps infrastructure.
The successful candidate will play a key technical role in productizing LLM-based solutions, integrating AI agents into PBG business systems, and leading DevOps practices to support scalable, secure, and production-grade AI applications deployed on on-premise Intel Cloud infrastructure.
Responsibilities will include:
- Productize and integrate LLM and Agent AI solutions into PBG business systems
- Evaluate, benchmark, and select LLMs for enterprise use cases
- Develop backend APIs using Python and /or C#
- Lead and enhance DevOps practices, including automation of AI/ML pipelines
- Deploy and operate containerized, microservices-based applications using Kubernetes
- Support CI/CD and production deployment of AI-enabled systems
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Minimum Qualifications
- Bachelor's Degree with 3+ years of relevant experience, master's degree with 2+ years of relevant experience, or PhD with 1+ years of relevant experience in Computer Science, Data Science, or any related STEM discipline.
2+ years of experience with the following technical skills:
- Hands-on experience with DevOps, containers, and Kubernetes
- Experience with LLM evaluation, Agent AI, and backend API development
- Experience managing SQL/NoSQL databases via DBaaS
- Experience with Linux and virtualization
Preferred Qualifications
- Experience building ML applications using Python and/or R
- Knowledge of semiconductor manufacturing or related domains
- Experience deploying and maintaining production-grade systems
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:US, California, Folsom, US, Oregon, HillsboroBusiness 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 compute devices to improve the lives of every person on Earth.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits
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: $170,500.00-275,580.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
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.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.Skills Required
- Bachelor's Degree with 3+ years of relevant experience or Master's with 2+ years or PhD with 1+ year
- Hands-on experience with DevOps, containers, and Kubernetes
- Experience with LLM evaluation, Agent AI, and backend API development
- Experience managing SQL/NoSQL databases via DBaaS
- Experience with Linux and virtualization
Intel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.
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Parental & Family Support — Family-building and caregiving supports are extensive, including fertility coverage, adoption assistance, paid parental leave, childcare and elder care resources, and a structured reintegration for new parents. These benefits are positioned as best-in-class elements of the package.
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Leave & Time Off Breadth — Time off includes generous PTO, a paid sabbatical after extended tenure, and multiple leave types such as family, medical, bereavement, and military. This breadth enables employees to disconnect, recharge, and manage life events.
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Retirement Support — Long-term savings are bolstered by a competitive 401(k) match and access to deferred compensation for eligible levels, alongside stock purchase opportunities. These programs are highlighted as strong tools for financial security.
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