Principal Engineer – Generative AI & LLM Platforms

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. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience 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. Please click here: Equal Employment Opportunity . 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. Recruitment Fraud Alert We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.