Principal Engineer - AI Architect

Hewlett Packard Enterprise; San Juan (PR); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise in Puerto Rico seeks a Principal Engineer - AI Architect to lead the design and oversight of end-to-end AI systems that align with business goals. This hybrid role requires working from an HPE office about 2 days per week.

You will mentor engineers and data scientists, define AI roadmaps, assess ROI, and ensure scalability, security, and governance across AI solutions with strong collaboration across product, data, and operations teams.

Qualifications

• Bachelor's or Master's in CS, Engineering, Data Science, ML or related field.
• Typically 10+ years experience in AI/architect roles.
• Strong knowledge of AI/ML algorithms, LLMs, RAG, and agent-based systems.

Responsibilities

• Design end-to-end AI systems (data ingestion → model deployment → UI).
• Collaborate with AI/ML engineers, Data engineers, and MLOps for production readiness.
• Define AI roadmap aligned with organizational goals.
• Identify high-impact AI use cases and assess ROI.
• Engage stakeholders early for feasibility and governance.
• Design AI system architecture (data pipelines, model lifecycle, orchestration).
• Integrate AI with enterprise apps and internal systems.
• Ensure scalability, fault tolerance, and cost efficiency.
• Select appropriate ML/DL models and frameworks (TensorFlow, PyTorch).
• Define versioning, fine-tuning, and deployment strategies.
• Implement CI/CD for ML pipelines and monitoring.
• Enforce data privacy, ethical AI practices, and audit trails.
• Implement guardrails for LLMs and prompt safety.
• Collaborate with security teams for risk mitigation.
• Mentor engineers and data scientists.
• Translate business requirements into technical tasks.
• Drive collaboration across product, data, and operations teams.

Skills

Python

Java

API design

Microservices

Cloud platforms

LLMs

MLOps

Docker/Kubernetes

Data pipelines

Security

Education

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

Tools

TensorFlow

PyTorch

Hugging Face

Docker

Kubernetes

AWS

Azure

GCP

API design

Job description

Principal Engineer - AI Architect

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

We are seeking an AI Architect a senior technical leader responsible for designing and overseeing end-to-end AI systems that align with business objectives. This role bridges business strategy and technical execution, ensuring scalability, security, and compliance across AI solutions. Should have Good Networking knowledge

Responsibilities:

• Design end-to-end AI systems (data ingestion → model deployment → UI).
• Collaborate with AI/ML engineers, Data engineers, and MLOps for production readiness.

Strategic Planning & Business Alignment

• Define AI roadmap aligned with organizational goals.
• Identify high-impact AI use cases and assess ROI.
• Engage stakeholders early for feasibility and governance.

Architecture & System Design

• Design AI system architecture (data pipelines, model lifecycle, orchestration).
• Integrate AI with enterprise apps and internal systems.
• Ensure scalability, fault tolerance, and cost efficiency.

Model & Data Management

• Select appropriate ML/DL models and frameworks (TensorFlow, PyTorch).
• Define versioning, fine-tuning, and deployment strategies.
• Implement CI/CD for ML pipelines and monitoring.

Security, Compliance & Governance

• Enforce data privacy, ethical AI practices, and audit trails.
• Implement guardrails for LLMs and prompt safety.
• Collaborate with security teams for risk mitigation.

Cross-Functional Leadership

• Mentor engineers and data scientists.
• Translate business requirements into technical tasks.
• Drive collaboration across product, data, and operations teams.

Education and Experience Required:

Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline. Typically, 10+ years' experience.

Knowledge and Skills:

• Programming & Software Engineering: Python, Java, Node.js; API design; microservices.
• Cloud & Distributed Systems: AWS, Azure, GCP; container orchestration. (desirable)

Technical Expertise

• Strong knowledge of AI/ML algorithms, LLMs, RAG, and agent-based systems.
• Proficiency in Python and API integration .
• AI/ML Expertise: Model selection, NLP frameworks like TensorFlow, PyTorch, Hugging Face.
• Experience with MLOps, containerization (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP).
• System design for distributed AI applications.
• Data architecture (ETL, feature stores, vector databases).
• Security and compliance for AI systems.

Additional Skills:

• Artificial Intelligence Technologies
• Cross Domain Knowledge
• Data Engineering
• Data Science
• Design Thinking
• Development Fundamentals
• Full Stack Development
• IT Performance
• Machine Learning Operations
• Scalability Testing
• Security-First Mindset

Job:

Engineering Job Level: TCP_05

What We Can Offer You:

• Health & Wellbeing
  We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
• Personal & Professional Development
  We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.
• Unconditional Inclusion
  We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let’s Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

HPE EEO Statement

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualif

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Company Hashtag

#LI-Hybrid