Principal Systems Development Engineer
AI summary of the role
Principal-level role at Dell Technologies acting as Product Owner and Enterprise Architect for AI-enabled engineering applications and platforms.
What you’ll do
- Serve as Product Owner and Enterprise Architect for Agentic AI enablement products and engineering platforms.
- Define product vision, strategy, roadmap, and success metrics for AI-powered engineering productivity solutions.
- Lead design and governance of Agentic AI ecosystems including MCP, agent orchestration, lifecycle management, security, and compliance.
- Develop enterprise data and integration strategies supporting Generative AI, RAG, semantic search, and autonomous workflows.
What you’ll bring
- Master's or Bachelor's degree in Computer Science, AI, ML, Data Science, Software Engineering, or related field.
- 10+ years in software engineering, systems development, platform engineering, product management, or enterprise architecture.
- Proven experience as Product Owner, Technical Product Leader, Enterprise Architect, or Principal Engineer for enterprise-scale platforms.
- Experience leading digital transformation, platform modernization, and engineering productivity initiatives.
Technologies
Agentic AI · Model Context Protocol (MCP) · RAG · Generative AI · cloud-native architectures · Kubernetes · Azure · DevSecOps · Infrastructure as Code · microservices
About Dell Technologies
Dell sells servers, storage, networking, and PCs to enterprises and consumers worldwide, with a fast-growing AI Factory infrastructure business.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Principal Systems Development Engineer - Enterprise Architecture for AI-enabled engineering applications and platforms Job 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
More from the job description
Principal Systems Development Engineer - Enterprise Architecture for AI-enabled engineering applications and platforms Job 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 [... source excerpt omitted ...] tecture 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, Machine Learning, Data Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field. 10+ years of experience in software engineering, systems development, platform engineering, product management, enterprise architecture, or related technical leadership roles. Proven experience serving as a Product Owner, Technical Product Leader, Enterprise Architect, or Principal Engineer [... source excerpt omitted ...] systems, APIs, microservices, and enterprise integration patterns. Experience collaborating across hardware, firmware, software, and systems engineering organizations. Preferred Qualifications: Experience delivering Agentic AI, Generative AI, MCP, RAG, knowledge graph, or AI orchestration solutions. Experience building internal engineering productivity platforms and workflow automation solutions. Knowledge of PLM, ALM, DevOps, Engineering Lifecycle Management, and related engineering toolchains. Experience with Azure, Kubernetes, DevSecOps, Infrastructure as Code, and platform engineering practices. Master's degree in Engineering, Computer Science, Artificial Intelligent. Compe
Employer postings · Data from · Sources