AI Engineer Global IT Infrastructure

Role Summary The AI Engineer contributes to the end-to-end delivery of AI/ML solutions within the Office of Innovation, working alongside broader platform teams. This role spans model development support, GenAI application building, infrastructure automation, and governance tooling, making it an ideal position for an engineer ready to deepen expertise across the full AI delivery stack. The successful candidate is technically sharp, eager to grow, and comfortable operating in a fast-paced innovation environment within a global enterprise. Key Responsibilities AI/ML Model Development • Build, train, and evaluate ML models, contributing to the full model lifecycle from data preparation through to deployment. • Conduct exploratory data analysis, feature engineering, and model experimentation; document findings clearly. • Support model validation, testing, and performance benchmarking activities. Generative AI & LLM Applications • Develop and maintain GenAI-powered applications including chatbots, summarization tools, document processing pipelines, and internal copilots. • Implement prompt engineering patterns, retrieval-augmented generation (RAG) pipelines, and tool-augmented agents using established frameworks. • Participate in the evaluation of new LLM capabilities and contribute to internal proof-of-concepts. AI Infrastructure & MLOps • Support the building and maintenance of ML pipelines, including data ingestion, preprocessing, training automation, and model serving. • Manage and monitor deployed models; identify and escalate performance degradation, drift, or anomalies. • Contribute to infrastructure-as-code for AI workloads across cloud environments (AWS, Azure, or GCP). AI Governance & Quality • Assist in producing governance documentation: model cards, data lineage records, and risk assessment inputs. • Implement monitoring and logging frameworks to support auditability and compliance requirements. • Apply responsible AI checklists and flag potential bias, fairness, or privacy concerns during development. Collaboration & Delivery • Work closely with data engineers, platform engineers, and business analysts to integrate AI outputs into existing systems. • Participate in Agile ceremonies, sprint planning, and technical design discussions. • Write clean, well-documented, testable code and maintain internal technical documentation. Qualifications Essential • 3 to 5 years of software engineering experience with at least 1 or 2 years in ML or AI-focused roles. • Solid skills with hands-on experience in ML libraries (scikit-learn, PyTorch or TensorFlow, pandas, NumPy). • Working knowledge of LLM APIs (OpenAI, Anthropic, HuggingFace) and at least one orchestration framework (LangChain, LlamaIndex). • Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization basics (Docker). • Experience with version control (Git), basic CI/CD practices, and collaborative development workflows. • Understanding of core ML concepts: supervised/unsupervised learning, model evaluation, overfitting, and feature engineering. • Bachelor’s degree in computer science, Engineering, Mathematics, or a related field — or equivalent demonstrable experience. Desirable • Exposure to MLOps tools such as MLflow, DVC, or Weights & Biases. • Experience with vector databases (Pinecone, Weaviate, ChromaDB, pgvector) for semantic search or RAG applications. • Familiarity with responsible AI principles, bias detection methods, or model explainability tools. • Cloud certifications (AWS, Azure, or GCP) at associate level or above. • Experience in an enterprise IT environment (ITSM, infrastructure, networking) is a plus. Vishay helps the world’s most in-demand technologies come to life. Every day our products touch your life and the lives of people across the world, though you likely do not know it. Since 1962, we have defined what technology can be through our electronic components—we can also help you define your future. With us, you'll experience unique career paths, an open and collaborative culture, a stable business that will be there for you, and opportunities to work globally and locally. Come join us and help us build the DNA of tech. Vishay's products are around the world, touching nearly everyone, everywhere, all the time. The amazing thing is that often these important components are rarely seen, quietly and reliably operating inside the world’s most popular and important technology products. Their impact on the world is huge—and it’s why we believe that our components really make up the very DNA of technology. As we look to the future, the opportunities are limitless to innovate. Our research and development teams are focused on products that position Vishay to be a leader in growth technologies such as connectivity, mobility, and sustainability. Imagine a job where you get to see the world evolve thanks in part to your projects and products. Imagine your work impacting lives around the world! Along with the freedom and support to build your unique career, comes responsibility.  Career advancement is earned, not given, at Vishay. Some of the attributes of successful Vishay employees include: Self-driven and hardworking Intellectually and culturally flexible, curious and eager to learn Excited to give, and receive, a challenge Have strong integrity & ethics Thrive in a teamwork environment We welcome you to identify new opportunities, take chances, and show your ability—speaking up and stepping up will open doors to leadership, cross-team, cross-functional, and cross-border experiences that will define and redefine your development.