Software Principal Engineer - AI Infra and Platform Engineer

Software Principal Engineer (AI Empowered) 

The Software Engineering team delivers nextgeneration application enhancements and innovative products for a rapidly evolving world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications, and diagnostics—leveraging advanced technologies, modern engineering methodologies, and close collaboration with internal and external partners. 

Join us to do the best work of your career and make a profound social impact as a Software Principal Engineer (AI Empowered) on our Software Engineering team in Singapore. 

What You’ll Achieve 

As a Software Principal Engineer (AI Empowered), you will be a key handson leader who architects, builds, and operationalizes AI platforms and accelerates engineering through AIassisted development. You’ll develop core infrastructure for AI workloads (LLMs, agentic systems, data/ML pipelines) and embed AI tools across the engineering lifecycle to uplift speed, quality, and innovation across Dell’s solution platforms. 

You will: 

AI Platform Engineering 

• Design, develop, and operate core AI platform components: MLOps pipelines, data handling, model serving, and observability. 

• Implement and manage LLM tooling and prompt engineering frameworks; define reusable patterns for agents and retrieval workflows (e.g., vector databases). 

• Deploy and maintain scalable compute environments on Kubernetes/OpenShift, VxRail, ensuring high availability, performance, and cost efficiency for AI workloads. 

• Troubleshoot complex issues across the stack—from infrastructure and networking to runtime and application layers; contribute to technical documentation and platform best practices. 

• Optimize GPU scheduling, resource management, and model runtime performance in containerized environments. 

AIAssisted Application Engineering 

• Drive adoption of AIassisted development tools (e.g., code generation, intelligent testing, automated documentation) and integrate LLMbased services into engineering workflows. 

• Build and maintain automation frameworks and CI/CD pipelines that leverage AI for code quality, security scanning, and performance optimization. 

• Collaborate with platform engineers and product teams to embed AI capabilities into solution platforms (e.g., OpenShift, VxRail, VMware ecosystem). 

• Develop reference implementations, guardrails, and best practices for AIassisted engineering across multiple product teams. 

• Mentor engineers in effective use of AI tools to improve productivity while maintaining highquality standards; evaluate emerging AI technologies and recommend adoption strategies. 

Essential Requirements 

• Master’s degree in Computer Science or related field, with 5+ years in software engineering or platform development. 

• Strong programming skills in Python, Go, or Java; solid CS fundamentals and handson experience with containerization and orchestration (Docker, Kubernetes, OpenShift).