Principal Engineer – Generative AI & LLM Platforms

Hewlett Packard Enterprise Development LP; San Juan (PR); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Hewlett Packard Enterprise invites applications for a Principal Engineer – Generative AI & LLM Platforms. This hybrid role requires you to work 2 days per week from an HPE office, contributing to the strategic architecture and delivery of AI platforms.

You will lead multi‑team efforts, apply advanced ML techniques, manage LLM deployments, guardrails, and cost optimization, focusing on scalable, secure cloud-native systems and production-grade solutions.

Qualifications

• Advanced degree in Computer Science, Machine Learning, AI or related discipline.
• 15+ years of relevant industry experience.
• Strong hands-on proficiency in Python and Golang; experience with transformer-based LLMs and model deployment.

Responsibilities

• Technical strategy and multi-year product road mapping.
• Emerging-technology evaluation and customer-focused innovation.
• Production-grade LLM and agentic solution architecture.
• Prompt engineering, fine-tuning, and model customization.
• LLM evaluation, guardrails, privacy, bias, and safety.
• Scalable, low-latency, multi-tenant distributed systems design.
• Observability, SLOs, incident response, capacity and cost management.
• Technical leadership, mentoring, and cross-team influence.
• Agile delivery, rapid prototyping, and product ionization.

Skills

Leadership

Python

Golang

Transformer models

LLM deployment

Education

Advanced degree in Computer Science or ML

Tools

AWS

Kubernetes

LangChain

PyTorch

Job description

Principal Engineer – Generative AI & LLM Platforms

This role has been designed as 'Hybrid' with a requirement 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:

Job Family Definition:

Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design.

Management Level Definition:

Contributions have visible technical impact on a product or major subcomponent. Applies in-depth professional knowledge and innovative ideas to solve complex problems. Visible contributions improve time-to-market, achieve cost reductions, or satisfy current and future unmet customer needs. Recognized internal authority on key technology area applying innovative principles and ideas. Provides technical leadership for significant project/program work. Leads or participates in cross-functional initiatives and contributes to mentorship and knowledge sharing across the organization.

Responsibilities:

• Technical strategy and multi-year product road mapping
• Emerging-technology evaluation and customer-focused innovation
• Production-grade LLM and agentic solution architecture
• Prompt engineering, fine-tuning, and model customization
• LLM evaluation, guardrails, privacy, bias, and safety
• Scalable, low-latency, multi-tenant distributed systems design
• Observability, SLOs, incident response, capacity, and cost management
• Technical leadership, mentoring, and cross-team influence
• Agile delivery, rapid prototyping, and product ionization

Education and Experience Required:

Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline

15+ years of relevant industry experience

Knowledge and Skills:

Proven technical leadership at Staff, Principal, Architect, or equivalent level, with influence across multiple teams or product areas and experience in delivering significant ownership of architecture for large-scale production systems. Strong hands-on proficiency in Python and Golang; solid understanding of APIs, asynchronous processing, testing, and software design principles. Deep understanding of transformer-based LLMs, tokenization, embeddings, context management, prompt engineering, inference behavior, and common model failure modes. Experience building and operating production grade Generative AI systems, including RAG, agents or tool-calling workflows, evaluation pipelines, and safety mechanisms. Practical experience customizing models through fine-tuning or parameter-efficient techniques and measuring quality against representative datasets. Hands on experience with AWS and cloud-native architecture, including compute, storage, identity and access management, monitoring, and deployment automation; strong networking domain knowledge covering routing & switching protocols, VPC design, private connectivity, network security, hybrid cloud connectivity, and troubleshooting of distributed application traffic flows. Expertise in distributed systems and systems design, including scalability, reliability, security, performance, data architecture, and cost optimization. Demonstrated mentoring and coaching skills, with a track record of growing engineers, building technical communities, facilitating constructive design discussions, and leading through influence in ambiguous environments. Strong innovation mindset, intellectual curiosity, and ability to translate emerging technologies into practical solutions through rapid experimentation, evidence-based decisions, and thoughtful risk management. Demonstrated ability to work in agile delivery models, rapidly build and present functional proofs of concept, and use early technical validation to guide priorities, architecture decisions, and incremental delivery.

Cloud, Platform, and Network Architecture:

AWS cloud, Kubernetes, infrastructure as code, and CI/CD Amazon Bedrock and AWS AI/ML services Amazon EMR, Apache Spark, and Apache Flink Amazon Aurora PostgreSQL, pgvector, Amazon EKS, and Amazon S3 Secure network architecture and hybrid/multi-region connectivity

AI/ML Frameworks and Orchestration:

Hugging Face Transformers and PyTorch LangChain, LangGraph, and LlamaIndex

MLOps and LLMOps:

Experiment tracking, model registries, and version management Automated model evaluation and controlled releases

AI Platform Architecture and Inference:

Multi-model platforms, AI gateways, and model routing Semantic caching and batch/streaming inference

Security, and Compliance:

Privacy-preserving AI and adversarial testing AI red teaming, content safety, and explainability AI regulatory compliance

Thought Leadership:

Patents, publications, open-source contributions, and technical thought leadership

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. #puertorico #networking

Job: Engineering Job Level: TCP_05

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 qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

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.

We Are In the Acceleration Business

We help customers use technology to slash the time it takes to turn ideas into value. In turn, they transform industries, markets and lives. Some of our customers run traditional IT environments. Most are transitioning to a secure, cloud-enabled, mobile-friendly infrastructure. Many rely on a combination of both. Wherever they are in that journey, we provide the technology and solutions to help them succeed.

Standards of Business Conduct (SBC)

The Hewlett Packard Enterprise Standards of Business Conduct (SBC) embody the fundamental principles that govern our ethical and legal obligations to Hewlett Packard Enterprise. They pertain not only to our conduct within the company but also to conduct involving our customers, channel partners, suppliers and competitors. Read more about how we win the right way.

Equal Opportunity Employer (EEO)

Hewlett Packard Enterprise provides equal employment opportunity to any employee or applicant without regard to sex, gender, color, race, ethnicity, religion, creed, national origin, ancestry, citizenship, age, marital status, sexual orientation, gender identity and expression, physical or mental disability, medical condition, pregnancy, protected veteran status, uniformed service status, familial status, genetic information, political affiliation, or any other characteristic protected by federal, state, or local law. If you’d like more information about your EEO right as an applicant under the law, Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement E-Verify (US & PR only) HPE is an E-Verify employer. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Disclosure of Sensitive Personal Data

Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.