IT Architect Data and AI - R&D IT
NXP SemiconductorsBengaluru, Karnataka, India
Posted March 27, 2026
Full Time
About the Company
We anticipate tomorrowâs needsânavigating a changing world by bringing together technology's brightest minds to build game-changing solutions that propel us forward. NXP Semiconductors N.V. (NASDAQ: NXPI) is the trusted partner for innovative solutions in the automotive, industrial & IoT, mobile, and communications infrastructure markets. NXP's "Brighter Together" approach combines leading-edge technology with pioneering people to develop system solutions that make the connected world better, safer, and more secure. The company has operations in more than 30 countries and posted revenue of $12.61 billion in 2024. Find out more at www.nxp.com. Career Development Opportunities : Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills. Commitment At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality. Privacy Policy: https://www.nxp.com/company/about-nxp/privacy-policy-for-social-media-pages:PRIVACY-POLICY-SOCIAL-MEDIA
Job Description
NXP is seeking an experienced Data & AI Architect to shape the future of their R&D data and AI ecosystem. The successful candidate will define and realize the architectural vision for data and AI capabilities, drive innovation, and guide global teams in delivering secure, scalable, and future-proof solutions.
Requirements
- Master's or Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or related technical field.
- 10+ years of professional experience in data architecture, AI/ML platforms, advanced analytics, or related technical roles.
- Experience designing enterprise-scale data architectures, cloud-native solutions, and AI/ML systems.
- Hands-on background working with big data technologies (Spark, Hadoop), real-time streaming (Kafka, Flink), AI/ML frameworks, and cloud platforms.
- Experience implementing MLOps and AI governance capabilities in enterprise environments.
- Experience in high-tech, semiconductor, automotive, or large-scale R&D environments is a strong plus.
