Agentic AI Consultant for Enterprise Data Science

Dell Technologies Inc.; Austin (TX); On-site; USD 185,000 - 254,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Dell Technologies in Round Rock, Texas seeks a Consultant, Data Science to design, build, and deploy scalable agentic AI solutions for Services Operations, delivering intelligent automation at enterprise scale. Collaborate with business and engineering teams to prototype capabilities, architect multi-agent ecosystems, and advance governance for AI-powered automation across complex use cases.

This role requires 8–10 years of enterprise AI experience with LLMs, agent frameworks, and AI

Qualifications

• 8-10 years of experience building AI solutions at scale in enterprise environments.
• Hands-on expertise with LLMs, agent frameworks, and multi-agent systems.
• Experience deploying production-scale AI applications and guiding AI strategy.

Responsibilities

• Lead end-to-end design, development, and deployment of agentic AI solutions at enterprise scale.
• Partner with stakeholders to identify high-value AI opportunities and prototype capabilities.
• Architect multi-agent ecosystems with memory, reasoning, and workflow coordination.
• Drive governance, reusable components, and scalable platforms for AI adoption.
• Evaluate cutting-edge AI technologies and shape the next generation of autonomous systems.

Skills

LLMs

Agent frameworks

Multi-agent systems

RAG

Vector databases

Knowledge graphs

AI orchestration platforms

AI strategy

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

LLM frameworks

AI orchestration platforms

Vector databases

Job description

Dell Technologies in Round Rock, Texas seeks a Consultant, Data Science to design, build, and deploy scalable agentic AI solutions for Services Operations, delivering intelligent automation at enterprise scale. Collaborate with business and engineering teams to prototype capabilities, architect multi-agent ecosystems, and advance governance for AI-powered automation across complex use cases.

This role requires 8–10 years of enterprise AI experience with LLMs, agent frameworks, and AI