Dell Senior AI Engineer - Agentic Gen 

United States, Texas, Austin 

62870149

In the role as a Senior AI Engineer, you will lead our AI/GEN AI initiatives. You will be responsible forarchitectingAI/GEN AI solutions, executing our GEN AI/AI strategy, and driving measurable business impact. The Senior AI Engineer will transform our Customer Support business towards a fully autonomous agentic AI system. This role requires an individual capable of translating strategic goals into tangible, high-impact AI solutions, fostering a culture of connection, innovation, and excellence within a dynamic, collaborative environment.

You will

• Own the full AI/ML lifecycle from prototype to deployment, ensuring the solutions are robust, scalable, and aligned with AI-product needs
• Design, develop, and implement AI agents capable of autonomous decision-making and action
• Stay current with the latest AI advancements and proactively apply new technologies to enhance team projects and committed to drive innovation
• Be a thought leader by inspiring and driving innovation, promoting, and supporting best practices, and mentoring the development of IPs, research publications and white papers

Essential Requirements:

• 10+ years’ experience of applied science or complex software systems, especially involving deep learning, machine learning, LLMs that have been successfully delivered
• Advanced experience with python, ETL pipelines (Airflow preferred), data warehousing concepts
• Strong software development skills, particularly in Python, with experience working with AI frameworks and tools in cloud environments; Knowledge of ML, NLP, Information Retrieval, Recommender Systems and LLMs

• Experience with container & orchestration technologies (Docker, Kubernetes etc) and cloud platforms (AWS, GCP or Azure); Experience with training, fine-tuning, and applying large language models (LLMs) for agentic AI application
• Proficiency in designing and developing multi-agent systems where multiple AI agents collaborate to achieve complex tasks

Desirable Requirements

• PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field

• Familiarity leveraging graph-based techniques, semantic search, hybrid search systems and implementing solutions that combine traditional IR methods with machine learning models to enhance search relevancy accuracy and efficiency. Familiarity with large scale data handling when dealing with telemetry systems.
• Publication of research papers, patents, or contributions to open-source projects. Recognition as a thought leader in AI, ML, or NLP fields is highly valued.