The AI Engineer role focuses on designing and building intelligent systems to enhance customer support by transforming fragmented data into actionable insights. The position involves utilizing Generative AI, large language models, and RAG-based systems to automate reporting and improve data engagement. The engineer will also work on modernizing localization workflows and developing scalable tools to boost efficiency and support decision-making across the organization. This role requires collaboration with various teams and a strong technical foundation in AI technologies.

• BS or MS in Computer Science, Artificial Intelligence, or equivalent experience
• 8+ years of experience in Machine Learning, Natural Language Processing, or related AI domains
• Deep understanding of large language models (LLMs) and strong experience crafting and implementing RAG-based workflows
• Strong programming skills with extensive experience in Python
• Experience building production-grade AI systems, APIs, or data pipelines
• Experience working with large, complex datasets and building analytical or reporting systems
• Strong problem-solving skills, performance analysis experience, and debugging expertise
• Solid foundation in algorithms and mathematical principles
• Experience with source control tools such as Git or Perforce
• Ability to work independently and collaboratively across teams

• Build and develop AI-powered tools that improve workflow efficiency, data analysis, and decision-making across customer support
• Build systems that ingest and unify data from multiple sources including internal databases, forums, social media, and internal tools
• Develop LLM- and RAG-based solutions that allow users to query systems in natural language and retrieve detailed, contextual insights
• Build automated reporting and metrics generation tools tailored to different collaborators such as engineering, QA, program management, customers, and support teams
• Enable personalized, role-based data access allowing individuals and teams to easily retrieve the information most relevant to them
• Identify patterns, trends, and root causes from internal systems using advanced analytical methods
• Lead the development of AI-assisted localization pipelines to improve translation speed and scalability and targeted human translation
• Research, evaluate, and implement emerging AI technologies to continuously improve internal systems
• Provide technical leadership and guidelines for AI-based system build and deployment

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.