Lead Data & AI Engineer R&D IT

Are you ready to join the future of innovation at NXP As a Data & AI Engineer you will directly contribute to accelerating and optimizing NXPs New Product Introductions by designing implementing and operationalizing advanced AI driven solutions. Your work will empower R&D teams with scalable AI tools assistants and automated closely with data engineers data scientists and domain experts you will help define the future of AI capabilities within R&D at NXP. You will build robust production ready AI applications including Generative AI solutions for our R&D is what you will do as AI Engineer at NXPAs part of the Hardware Design Analytics team you will innovate and evolve the Generative AI solutions that support our R&D organization. Your key responsibilitiesStakeholder Collaboration: Work with project managers resource managers IT teams and other stakeholders to gather requirements define project scope and ensure alignment with business AI Solutions: Design develop and deploy AI products to support R&D AI and Reliable Data: Collaborate with data engineers and DevOps engineers to ensure highquality secure reliable and wellgoverned data availability for AI & DevOps: Build AI solutions with a DevOps mindsetensure reproducibility automation and quality by leveraging CI/CD pipelines version control and modern development Delivery & Collaboration: Work as part of a Scrum team operating within an Agile environment and participating in sprint planning reviews and crossfunctional collaboration to ensure rapid iterative delivery of AI you bringYou can describe yourself as follows: Education & Experience:Education: A masters degree in Artificial Intelligence Data Science Software Engineering Computer Science or a related field. PhD in Artificial Intelligence Machine Learning or related discipline is a : 7 years of experience in applied AI or AI solution development (professional or academic) preferably within a complex IT or R&D SkillsCoding: Strong proficiency in AI Development: oExperience with foundational and open source model families (Claude GPT Llama Mistral Gemma etc.).oExperience with RAG frameworks and components (LangChain LlamaIndex semantic search embeddings vector stores etc.).oFamiliarity with multimodal and agentic Deployment: oExperience with Backend/API development (FastAPI Flask or equivalent).oUnderstanding of containerization and orchestration (Docker).Automation: A strong interest in automation cloud technologies Infrastructure as Code (preferably using CDK) DevOps practices and CI/CD pipelines (preferably using Gitlab).Cloud: Experience working with cloud-native AI deployment on AWS (or other cloud platform) is a AttributesStrategic Problem-Solving: Comfortable owning technical challenges and designing long-term scalable & Stakeholder Focus: Strong communicator who can translate technical concepts into business value and collaborate effectively across data science architecture and wider R& Mindset: A natural collaborator who contributes to an open supportive working cultureAgile & SCRUM: Experienced working in Agile environments actively participating in sprints stand-ups and iterative delivery cycles to ensure continuous improvement and timely value delivery.

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