Senior Consultant, Data Science
Dell Technologies
- Location
- Cork, Co. Cork, Ireland
- Work model
- On-Site
- Level
- Senior
- Posted
- Aug 27, 2026
Skills
About this role
Technical Staff, AI Architect - Agentic AI/GenAI
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 impact as Technical Staff, AI Architect - Agentic AI/GenAI on our growing and dynamic team in Cork, Ireland.
What you’ll achieve In the role as an AI Architect, you will lead our AI/GEN AI initiatives. You will be responsible for architecting AI/GEN AI solutions, executing our GEN AI/AI strategy, and driving measurable business impact. The AI Architect 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
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
15+ 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.
Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Closing date: Apply soon Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play.