Principal Systems Development Engineer

Job Summary

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 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.
• 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, 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 for enterprise-scale platforms.
• Experience leading digital transformation, platform modernization, and engineering productivity initiatives.
• Strong expertise in cloud-native architectures, distributed 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.
• Compensation ​
• Dell is committed to fair and equitable compensation practices. The salary range for this position is $170,000 - 200,000.
• Benefits and Perks of working at Dell Technologies ​
• Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com