Senior Principal Architect, Generative AI & LLM Platforms

Hewlett Packard Enterprise Company; Friday Harbor (WA); Hybrid; USD 210,000 - 270,000; Full time

Job summary

Hewlett Packard Enterprise Company is seeking a Principal Engineer - Generative AI & LLM Platforms to design and deliver production-grade AI systems. The role emphasizes multi-year roadmaps, architectural leadership, and rapid experimentation across cloud-native platforms.

The candidate will drive transformer-based LLM architectures, enable tool-calling workflows, and ensure privacy, safety, and cost optimization while mentoring engineers across teams.

Qualifications

• Advanced degree in Computer Science, Machine Learning, AI, or related field
• 15+ years of industry experience
• Proven technical leadership at senior levels across multiple teams
• Experience with transformer-based LLMs and AI platforms
• Hands-on with Python and Golang, APIs, and modern software design

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 and rapid prototyping of features

Skills

Python

Go

APIs

LLMs

Distributed Systems

Cloud AWS

MLOps

Mentoring

Agile

Education

Advanced degree in CS/ML

Bachelor's degree

Tools

Kubernetes

Hugging Face Transformers

LangChain

Apache Spark

Amazon Bedrock

EKS

pgvector

CI/CD

Job description

Hewlett Packard Enterprise Company is seeking a Principal Engineer - Generative AI & LLM Platforms to design and deliver production-grade AI systems. The role emphasizes multi-year roadmaps, architectural leadership, and rapid experimentation across cloud-native platforms.

The candidate will drive transformer-based LLM architectures, enable tool-calling workflows, and ensure privacy, safety, and cost optimization while mentoring engineers across teams.