
Principal Engineer – AI Architect
Hewlett Packard Enterprise
full-time
Posted on:
Location Type: Hybrid
Location: San Juan • Puerto Rico
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Job Level
Tech Stack
About the role
- 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
- 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
Requirements
- 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
- Programming & Software Engineering: Python, Java, Node.js; API design; microservices
- Cloud & Distributed Systems: AWS, Azure, GCP; container orchestration
- 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
- Strong communication skills
Benefits
- Health & Wellbeing
- Personal & Professional Development
- Unconditional Inclusion
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonJavaNode.jsAPI designmicroservicesAWSAzureGCPTensorFlowPyTorch
Soft Skills
strong communication skillsmentoringcollaborationstakeholder engagementrisk mitigation
Certifications
Bachelor's degreeMaster's degree