Principal Engineer - Generative AI & LLM Platforms

Hewlett Packard Enterprise Company in; San Juan (PR); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health & Wellbeing

Professional Development

Inclusive culture

Job summary

Hewlett Packard Enterprise seeks a Principal Engineer to lead Generative AI & LLM Platforms in Finance. The role emphasizes hybrid work with 2 days in-office on average, driving multi-year AI roadmaps and production-grade architectures.

You will mentor engineers, design scalable systems, and push innovations from RAG to tool-calling workflows. The candidate should have 15+ years in the field, advanced degrees, deep Python/Golang expertise, and hands-on AWS/cloud-native experience.

Qualifications

• Advanced degree in Computer Science, ML, AI, or related field
• 15+ years of industry experience in relevant roles
• Proven technical leadership with cross-team influence
• Strong Python and Golang hands-on proficiency
• Experience with AWS and cloud-native architectures, CI/CD, and monitoring
• Knowledge of transformer-based LLMs, tokenization, embeddings and prompt engineering
• Experience building production-grade Generative AI systems and safety mechanisms
• Proven ability to mentor engineers and lead through influence

Responsibilities

• Develop technical strategy and multi-year product roadmaps for AI platforms
• Evaluate emerging technologies and drive customer-focused innovation
• Design production-grade LLM architectures with agents and tool-calling workflows
• Lead prompt engineering, fine-tuning, and model customization
• Ensure guardrails, privacy, bias, and safety in deployments
• Build scalable, low-latency, multi-tenant distributed systems
• Drive observability, SLOs, incidents, capacity and cost management
• Mentor teams and lead cross-functional initiatives
• Enable rapid prototyping and agile delivery of features

Skills

Python

Golang

LLMs

Distributed systems

Cloud architecture

MLOps

Prompt engineering

Agile

Education

Advanced degree in Computer Science / ML

15+ years experience

Bachelor's degree in related field

Tools

AWS

Kubernetes

Bedrock

PyTorch

LangChain/LangGraph

LlamaIndex

Job description

Principal Engineer - Generative AI & LLM Platforms (Finance)

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.

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.