Senior Advisor, Data Science

Data Science/AI Engineer – Generative AI & Agentic Systems
Infrastructure Solutions Group (ISG) builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data continuity, and deliver the platforms, applications, and diagnostics our customers rely on every day at enterprise scale.
Some product builders follow the rules. Ours rewrite them.
Within ISG, innovation isn't just about creating new technology- it's about challenging assumptions and reimagining how work gets done. Engineers define intent, author precise specifications, and orchestrate AI agents that execute at speed and scale. AI is embedded throughout our development process, helping us move faster, learn quicker, and deliver greater impact. Yet the most important contribution remains uniquely human: deciding what to build, designing how it should work, and applying the judgment needed to earn our customers' trust. When your products power critical infrastructure around the world, that responsibility matters.
We move quickly toward the work that matters most. We reward experimentation, encourage bold thinking, and remove unnecessary barriers so great ideas can become reality faster. Our teams embrace a customer-first, first-to-market mindset, transforming rapid feedback into better products and better outcomes. We aren't looking for people who are content with the status quo- we look for builders who question it, improve it, and occasionally rewrite it.
If you're energized by solving complex systems challenges, excited to work alongside AI to amplify your impact, and motivated by the opportunity to shape what's next instead of simply maintaining what's been done before, you'll find your place here.
Join us and help build the future of enterprise technology.
What you’ll achieve
As an Data Science/AI Engineer, you will design, develop, and deliver intelligent AI-powered solutions that enable organizations to unlock the value of their information and data. You will contribute to an enterprise AI platform that connects diverse organizational data sources and enables natural-language interactions, intelligent applications, and AI Agents to retrieve information, generate insights, and automate complex business processes.
You will:
Design and develop AI-powered solutions, including intelligent data processing pipelines for document processing, text extraction, semantic enrichment, embeddings, and knowledge extraction.
Build and optimize Retrieval-Augmented Generation (RAG) solutions, integrating Large Language Models (LLMs), semantic search, vector databases, and knowledge representation technologies.
Develop intelligent AI Agents capable of understanding user requests, reasoning, selecting tools, and executing multi-step tasks, including natural-language interfaces for structured and unstructured enterprise data.
Design and implement integrations with APIs, enterprise systems, and external tools, while evaluating and improving solution accuracy, retrieval relevance, performance, and reliability.
Collaborate with Data Engineers, Data Scientists, Architects, and Product Managers to deliver scalable, production-ready AI applications, following software engineering best practices and applying security, data privacy, and responsible AI principles.
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
4–6 years of professional experience in software engineering, AI engineering, or machine learning engineering, with a Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.
Strong programming skills in Python and experience developing production-quality software, with a solid understanding of machine learning, deep learning, NLP, and modern AI concepts.
Hands-on experience with Large Language Models (LLMs), Generative AI applications, RAG-based solutions, embeddings, vector search, semantic search, and related information retrieval techniques.
Experience with AI development frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent, including agent orchestration, tool calling, MCP, REST APIs, and microservices.
Hands-on experience with Docker and Kubernetes (K8s), including deploying, managing, and troubleshooting containerized applications, alongside familiarity with relational and NoSQL databases, software architecture, testing, and Git.
Desirable Requirements
Experience with Elasticsearch, Neo4j or other graph databases, knowledge graph modeling, Text-to-SQL, document intelligence, OCR, or processing large-scale unstructured information.
Experience building autonomous or multi-agent AI systems, deploying and maintaining AI solutions in production, and working with AI evaluation frameworks, observability, and LLM performance optimization.
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.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

Skills
Python, REST API, Microservices, Git, Docker, Kubernetes, SQL, Elasticsearch, Machine Learning, Artificial Intelligence

Work arrangement
No