Principal Engineer - AI / ML

This role has been designed as ''Onsite' with an expectation that you will primarily work 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

In the HPE Hybrid Cloud , we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what's next for you.

Principal Generative AI Engineer

As a Principal Generative AI Engineer, you will be responsible for driving the roadmap and building the next generation Generative AI Platform and GenAI Models / Algorithms that our userbase will leverage for years to come as we scale our efforts to implement GenAI in our Product. You should be comfortable with petabytes of data, writing crisp design documentation, and building, debugging, and maintaining highly available distributed systems. The GenAI platforms that you build will empower developers throughout HPE to build better AI products more quickly than ever before. You will be at the forefront of development, research, and implementation of innovative GenAI models, prompting strategies, agentic AI systems, and pipelines.

The ideal candidate should have a strong background in applied generative AI approaches, large language models, multimodal AI, agentic AI, and production-level engineering. You should have excellent problem solving and communication skills, and be comfortable working with data scientists, product managers, and other engineers. You should have a passion for creating GenAI products and be able to think through the implications of the solutions you create. A successful candidate should have an advanced degree in computer science, mathematics, engineering, or a related field, and have a strong portfolio of GenAI / LLM projects.

You should design and build highly scalable systems, generative AI algorithms, and deep learning applications. You should be able to execute tests and optimize GenAI models and prompt / agentic workflows. You should also be able to mentor and guide other GenAI Engineers in the team.

What You Will Do

• Experiment, design, develop and maintain generative AI models (e.g., LLMs, multimodal models), agentic AI architectures, and pipelines with high potential for value and scale.
• Collaborate with other GenAI engineers, data scientists, product managers, and other engineers to ensure successful implementation of generative AI solutions.
• Perform research and testing to develop or customize GenAI algorithms, prompt engineering strategies, and agentic workflows; conduct model training, fine-tuning, and evaluation as needed; integrate, test, tune and monitor the solutions developed.
• Research and evaluate new technologies and tools for generative AI, including Retrieval-Augmented Generation (RAG), prompt orchestration, agentic AI frameworks, model evaluation and safety tools.
• Maintain and update existing generative AI systems, including prompt libraries, agent workflows, and deployed models.
• Troubleshoot and debug GenAI systems, including issues related to model outputs, prompt reliability, hallucinations, and agentic behaviors.
• Work collaboratively with cross-functional partners and stakeholders, identify opportunities for business impact, understand, refine, and prioritize requirements for GenAI models and solutions, drive engineering decisions, and quantify impact.
• Hands-on development, productionization, and operation of GenAI models, agents, and pipelines at scale, including both batch and real-time use cases.
• Work with large scale structured and unstructured data, build and continuously improve cutting edge GenAI models, including LLMs, vision-language models, and agentic systems.
• Provide technical guidance and mentorship to other team members and interns in GenAI best practices, prompting strategies, and agentic design.
• Identify areas of improvement in existing GenAI systems, including prompt engineering, agent reliability, and model deployment.

What You Will Need

Good To Have

Additional Skills

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

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

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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.

Skills Required

Kafka, Deep Learning, MLops, Spark, Kubernetes, Python