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

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.

• 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.

#LI-Hybrid

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

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.

#puertorico#networking

Job:

Engineering

Job Level:

TCP_05

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendorswill never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.