Director, Data Science & AI Engineering  

Director, Data Science & AI Engineering

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions.

Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models.

What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound social impact as a Director, Data Science & AI Engineering on our Data Science Team in Austin, Texas.

What you'll achieve

We are seeking a strategic and technically deep Director of Data Science & AI Engineering to lead the next phase of our AI/ Agentic AI transformation.

This leader will be accountable for delivering measurable business impact through scalable, production-grade AI systems, including autonomous and semi-autonomous AI agents, while building and mentoring a high-performing, multidisciplinary organization.

You will:


* Define and own the enterprise AI, Generative AI, and Agentic AI strategy aligned to business outcomes



* Lead and scale teams across Data Science, Applied ML, GenAI, Agentic Systems, and ML Platform/MLOps



* Drive the full AI lifecycle: problem framing, experimentation, model and agent development, evaluation, deployment, monitoring, and continuous optimization



* Design and oversee agent-based systems capable of planning, tool-use, memory, orchestration, and multi-step reasoning



* Establish architectural patterns for human-in-the-loop, human-on-the-loop, and autonomous decisioning systems and translate emerging AI capabilities (LLMs, agents, RAG, multimodal models) into differentiated products and operational efficiency

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table.

Here's what we are looking for with this role:

Essential Requirements


* 12+ years of experience delivering production ML/AI systems; 6+ years leading managers and senior technical teams



* Demonstrated experience building and deploying large-scale ML, GenAI, and agentic systems in production



* Deep understanding of modern ML techniques including deep learning, NLP, information retrieval, recommendation, and LLM architectures



* Hands-on experience with GenAI and Agentic AI patterns such as RAG, fine-tuning, prompt engineering, planning and reasoning loops, tool invocation, agent memory, and evaluation frameworks



* Strong foundation in cloud-native architectures (AWS, Azure, or GCP), containers, Kubernetes, and ML/AI platforms



* Experience with MLOps, LLMOps, CI/CD for ML, model and agent monitoring, and cost/performance optimization along with the ability to define techni...