Hybrid Principal Engineer: Generative AI & LLM Platforms

Hewlett Packard Enterprise Development LP

San Juan (PR)

Hybrid

USD 120,000 - 190,000

Full time

14 days+
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Job summary

Hewlett Packard Enterprise invites applications for a Principal Engineer – Generative AI & LLM Platforms. This hybrid role requires you to work 2 days per week from an HPE office, contributing to the strategic architecture and delivery of AI platforms.

You will lead multi‑team efforts, apply advanced ML techniques, manage LLM deployments, guardrails, and cost optimization, focusing on scalable, secure cloud-native systems and production-grade solutions.

Qualifications

  • Advanced degree in Computer Science, Machine Learning, AI or related discipline.
  • 15+ years of relevant industry experience.
  • Strong hands-on proficiency in Python and Golang; experience with transformer-based LLMs and model deployment.

Responsibilities

  • Technical strategy and multi-year product road mapping.
  • Emerging-technology evaluation and customer-focused innovation.
  • Production-grade LLM and agentic solution architecture.
  • Prompt engineering, fine-tuning, and model customization.
  • LLM evaluation, guardrails, privacy, bias, and safety.
  • Scalable, low-latency, multi-tenant distributed systems design.
  • Observability, SLOs, incident response, capacity and cost management.
  • Technical leadership, mentoring, and cross-team influence.
  • Agile delivery, rapid prototyping, and product ionization.

Skills

Leadership
Python
Golang
Transformer models
LLM deployment

Education

Advanced degree in Computer Science or ML

Tools

AWS
Kubernetes
LangChain
PyTorch

Job description

Hewlett Packard Enterprise invites applications for a Principal Engineer – Generative AI & LLM Platforms. This hybrid role requires you to work 2 days per week from an HPE office, contributing to the strategic architecture and delivery of AI platforms.

You will lead multi‑team efforts, apply advanced ML techniques, manage LLM deployments, guardrails, and cost optimization, focusing on scalable, secure cloud-native systems and production-grade solutions.

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