Hiring: Principal Systems Development Engineer Company: Dell Technologies Location: Round Rock, TX Job Posted Time: 2026-09-10 12:29:37 Target Skills & Keywords : AI, Azure, Digital Transformation, Enterprise Architecture, Firmware, Infrastructure as Code, Kubernetes, Machine Learning, Microservices, Product Lifecycle Management, Product Management, RAG, Systems Engineering About the job Experience: •10+ years of experience in software engineering, systems development, platform engineering, product management, enterprise architecture, or related technical leadership roles. Required Skills: •Dell Technologies is seeking a highly experienced •Serve as the for Agentic AI enablement products and engineering platforms. •Maintain deep technical expertise and hands-on knowledge of enterprise application architecture, cloud platforms, AI technologies, integration frameworks, and modern software engineering practices. •Define product vision, strategy, roadmap, requirements, and success metrics for AI-powered engineering productivity solutions. •Strategically drive transformation from traditional engineering processes to AI-native workflows leveraging intelligent assistants, AI agents, and automation. •Lead the design and governance of Agentic AI ecosystems, including Model Context Protocol (MCP), agent orchestration, lifecycle management, security, and compliance. •Partner with hardware, firmware, software, systems engineering, and business stakeholders to identify and prioritize high-value AI transformation opportunities. •Develop enterprise data and integration strategies supporting Generative AI, RAG, semantic search, knowledge management, and autonomous workflows. Qualifications: •Master's or Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field. •Proven experience serving as a Product Owner, Technical Product Leader, Enterprise Architect, or Principal Engineer for enterprise-scale platforms. •Strong expertise in cloud-native architectures, distributed systems, APIs, microservices, and enterprise integration patterns. •Knowledge of PLM, ALM, DevOps, Engineering Lifecycle Management, and related engineering toolchains. •Master's degree in Engineering, Computer Science, Artificial Intelligent. Compensation: •$170,000 - $200,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!