Generative AI Engineer

This role has been designed as ‘Hybrid’ with an expectation 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 What you’ll do

• Design, develop, and deploy AI/ML and Generative AI solutions.
• Build and optimize machine learning models for prediction, classification, and automation.
• Develop AI applications using Large Language Models and RAG frameworks.
• Create and maintain AI agents, chatbots, and intelligent automation workflows.
• Fine-tune and evaluate AI models for accuracy, scalability, and performance.
• Collaborate with product, engineering, and business teams to deliver AI-driven solutions.
• Apply responsible AI practices, including security, privacy, and ethical considerations.
• Stay up to date with advancements in AI, machine learning, and cloud-native AI services. What you need to bring
• 2–4 years of experience in AI/ML, Data Science, or Software Engineering.
• Strong programming skills in Python.
• Hands-on experience with Machine Learning, Deep Learning, and model development.
• Knowledge of Generative AI, LLMs, and prompt engineering.
• Experience with frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow, OpenAI, or Azure OpenAI APIs.
• Understanding of RAG architectures, vector databases, and embeddings.
• Experience working with REST APIs and microservices.
• Familiarity with Git, CI/CD, and Agile methodologies.
• Preferred: experience with AI agents, cloud platforms, MLOps, NLP, Computer Vision, or Conversational AI.
• A degree in Computer Science, Artificial Intelligence, Data Science, or a related field; certifications are a plus.

Additional Skills Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, 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.

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Job Engineering

Job Level TCP_02 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.

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