Principal Engineer – Generative AI & LLM Platforms
Core
Designing, developing, and leading production-grade Generative AI systems, LLM platforms, and agentic solutions for HPE's edge-to-cloud infrastructure.
Role type
Principal Engineer (Generative AI & LLM Platforms)
Builds
Scalable, low-latency, multi-tenant distributed systems for LLM inference, RAG, agents, and tool-calling workflows.
Domain
Cloud infrastructure, Generative AI, Large Language Models, Distributed Systems, Networking
Deliverable
production ML models | product features | infrastructure
Required skills
Technical strategy and multi-year product road mapping, Production-grade LLM and agentic solution architecture, Prompt engineering and model customization, LLM evaluation and safety mechanisms, Scalable distributed systems design, Technical leadership and mentoring, Cloud-native architecture and networking domain knowledge, AI/ML framework expertise (PyTorch, LangChain), LLMOps and model orchestration, Security and compliance in AI systems
Preferred skills
Thought leadership via patents or publications, Experience with specific HPE cloud services (Bedrock, EMR, Aurora), Advanced degree in CS/AI
Technologies
Python, Golang, AWS, Kubernetes, Amazon Bedrock, PyTorch, LangChain, Hugging Face Transformers, Apache Spark, pgvector
Responsibilities
Define technical strategy and product roadmaps for GenAI, Architect and build production LLM systems, Evaluate emerging technologies and lead innovation, Mentor engineers and lead cross-functional initiatives, Manage observability, SLOs, and cost for AI platforms, Ensure safety, privacy, and compliance in AI deployments
Seniority
Principal, hands-on IC with strategic influence
