Hybrid AI Architect - End-to-End Systems Leader

Zerto; Puerto Rico; Hybrid; Confidential; Full time

Benefits offered by this job

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise is seeking a Principal Engineer - AI Architect to lead end-to-end AI system design with a strong emphasis on scalability, security, and governance. This hybrid role expects you to work from a Puerto Rico office ~2 days per week.

You will bridge business strategy and technical execution, mentor engineers, collaborate across product and data teams, and define AI roadmaps while ensuring ROI and compliance with enterprise standards.

Qualifications

• Bachelor's or master's degree in computer science, engineering, data science, ML/AI or related field.
• Typically 10+ years of experience in AI/ML, software architecture, or related roles.
• Strong leadership and stakeholder management skills.

Responsibilities

• Design end-to-end AI systems from data ingestion to model deployment and UI.
• Define AI roadmap and identify high-impact use cases with ROI.
• Architect scalable, secure, compliant AI solutions across enterprise apps.
• Collaborate with AI/ML engineers, data engineers, and MLOps for production readiness.
• Mentor engineers and translate business needs into technical tasks.
• Ensure governance, guardrails for LLMs, and data privacy.

Skills

Python

Java

Node.js

APIs

Microservices

LLMs / AI

MLOps

Docker / Kubernetes

Cloud Platforms (AWS Azure GCP)

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

TensorFlow

PyTorch

Hugging Face

ML Frameworks

Job description

Hewlett Packard Enterprise is seeking a Principal Engineer - AI Architect to lead end-to-end AI system design with a strong emphasis on scalability, security, and governance. This hybrid role expects you to work from a Puerto Rico office ~2 days per week.

You will bridge business strategy and technical execution, mentor engineers, collaborate across product and data teams, and define AI roadmaps while ensuring ROI and compliance with enterprise standards.