About this opportunity
Dell Careers lists this Principal Systems Development Engineer - Enterprise Architecture for AI-enabled engineering applications and platforms opportunity in round rock, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Principal Systems Development Engineer - Enterprise Architecture for AI-enabled engineering applications and platformsJob Summary:Dell Technologies is seeking a highly experienced Principal Systems Development Engineer to serve as the Product Owner and Enterprise Architect for next-generation AI-enabled engineering applications and platforms. This role will drive the transformation of engineering systems, processes, and workflows through Agentic AI, intelligent automation, cloud-native architectures, and modern data platforms. The ideal candidate will combine product leadership, enterprise architecture expertise, and AI transformation experience to define platform vision, roadmap, business capabilities, and technical architecture while driving adoption of intelligent agents, automation frameworks, and AI-native operating models across the enterprise.Key Responsibilities:- Serve as the Product Owner and Enterprise Architect 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.- Drive the 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 h search, knowledge management, and autonomous workflows.- Modernize legacy applications and drive adoption of scalable cloud-native engineering platforms.- Establish technology standards, architecture principles, governance frameworks, and engineering best practices.- Influence executive leadership and provide technical direction across multiple organizations.Required Qualifications:- Master's or Bachelor's degree in Computer Science, Artificial Intelligence, Mach
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.