Partner closely with business, engineering, and operations stakeholders to identify high-value opportunities, rapidly prototype innovative agent-based capabilities, and translate emerging AI advancements into measurable business outcomes.
Architect and orchestrate multi-agent ecosystems, defining patterns for agent collaboration, memory, reasoning, and workflow coordination to maximize effectiveness across interconnected use cases.
Drive the Services Operations agentic AI strategy by establishing best practices, governance frameworks, reusable components, and scalable platforms that accelerate adoption and ensure long-term value realization.
Serve as a thought leader and catalyst for agentic transformation, evaluating cutting-edge AI technologies, influencing organizational direction, and helping shape the next generation of autonomous and semi-autonomous operational systems.
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
8-10 years of experience working on building AI solutions at scale, with a demonstrated progression from traditional AI/ML to Generative AI and Agentic AI solutions in enterprise environments.
Hands-on expertise in LLMs, agent frameworks, multi-agent systems, RAG, vector databases, knowledge graphs, and AI orchestration platforms, with experience deploying production-scale AI applications.
Proven ability to lead AI strategy and innovation, establish technical standards, and drive the adoption of connected, enterprise-scale agentic systems across cross-functional teams.
12+ Years of experience with Bachelors Degree in Computer Science, Engineering or any related field of 10+ Years of experience with Masters Degree in Computer Science, Engineering or any related field
Desirable Requirements
Experience designing multi-agent architectures, including agent orchestration, tool integration, planning/reasoning workflows, and autonomous task execution in production environments.
Demonstrated passion for emerging AI technologies, with contributions through thought leadership, innovation initiatives, patents, publications, or industry engagement.
