# Principal Engineer - AI Architect

**Company**: Hewlett Packard Enterprise
**Location**: San Juan, Puerto Rico
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/San-Juan-Puerto-Rico-Puerto-Rico/Principal-Engineer---AI-Architect_1201855-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7cc85e8b-dd8

## 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.

**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.

- 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.

- Strong communication skills are necessary to collaborate with cross-functional teams effectively, explain complex AI concepts to non-technical stakeholders, and provide technical leadership and mentorship to junior engineers.

## Skills

### Required
- Python
- Java
- Node.js
- API design
- microservices
- AI/ML algorithms
- LLMs
- RAG
- agent-based systems
- TensorFlow
- PyTorch
- Hugging Face
- MLOps
- Docker
- Kubernetes
- AWS
- Azure
- GCP

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/San-Juan-Puerto-Rico-Puerto-Rico/Principal-Engineer---AI-Architect_1201855-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)