AI & Analytics Solutions Engineer

About this role

AI & Analytics Solutions Engineer   

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:

The HPE Worldwide Hybrid Cloud Technology Acceleration Team is seeking a recent university graduate to join the AI & Analytics Solutions Engineering team. This is an early-career opportunity for someone interested in artificial intelligence, data analytics, enterprise technology, and solution development. In this role, you will work alongside experienced solution engineers, architects, product managers, and technical specialists to design, build, test, and document AI and analytics solutions running on HPE infrastructure. You will gain hands-on experience with modern technologies such as generative AI, retrieval-augmented generation (RAG), AI agents, data platforms, containers, Kubernetes, GPUs, virtualization, and hybrid cloud environments.

The ideal candidate is curious, technically motivated, comfortable learning new technologies, and able to turn technical work into clear documentation and demonstrations. We are looking for someone with a strong technical foundation, a willingness to learn, and the ability to contribute effectively within a collaborative engineering team.

Responsibilities • Assist with the design, development, testing, and validation of AI and analytics solutions running on HPE infrastructure. • Build foundational experience with generative AI, RAG, AI agents, model inference, data pipelines, vector databases, and analytics platforms. • Support the deployment and testing of applications in containerized, virtualized, Kubernetes, GPU-enabled, and hybrid cloud environments. • Work with senior engineers and technical specialists to translate solution requirements into testable configurations and use cases. • Develop scripts, notebooks, APIs, and basic automation using Python and other relevant development tools. • Execute documented test plans, capture results, and help identify technical issues, risks, and potential improvements. • Create and maintain clear technical documentation, architecture diagrams, deployment instructions, demonstrations, and validation records. • Contribute to field-ready materials such as solution playbooks, technical briefs, presentations, videos, blogs, demonstrations, and hands-on labs. • Participate in technical reviews, team meetings, enablement sessions, and collaborative solution-development activities. • Communicate progress, questions, challenges, and next steps clearly and consistently. • Learn HPE technologies, products, solution-development processes, and enterprise infrastructure practices. • Incorporate technical feedback and continuously improve the quality of assigned work. • Support team priorities while developing greater technical ownership and independence over time.

Education • Recently completed a bachelor’s or master’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Computer Engineering, Information Systems, or a related technical field.

Required Qualifications • Foundational programming experience with Python gained through university coursework, academic research, internships, personal projects, or open-source contributions. • Basic understanding of artificial intelligence, machine learning, data analytics, or software-development concepts. • Familiarity with one or more of the following through coursework or project experience: • Generative AI or large language models • Machine learning frameworks • Data processing and analytics • APIs and application integration • Databases or vector databases • Cloud computing • Containers or Kubernetes • Linux operating systems

• Ability to analyze technical problems, research possible solutions, and ask effective questions when assistance is needed. • Ability to document technical work clearly and explain technical concepts to different audiences. • Strong written and verbal communication skills. • Demonstrated willingness to learn unfamiliar technologies and accept coaching and feedback. • Ability to organize assignments, manage priorities, and complete agreed-upon deliverables. • Ability to work collaboratively in a hybrid team environment, including regular onsite engagement in the Fort Collins lab.

Preferred Qualifications • Internship, cooperative education, academic research, capstone, or personal project experience involving AI, machine learning, analytics, cloud computing, or enterprise technology. • Experience creating Python scripts, Jupyter notebooks, APIs, or simple application integrations. • Exposure to AI or machine-learning frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, or comparable technologies. • Exposure to Docker, Kubernetes, Git, Linux, or CI/CD development practices. • Familiarity with public cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud. • Basic understanding of enterprise infrastructure, including servers, storage, networking, virtualization, or hybrid cloud architecture. • Exposure to GPU computing, model serving, inference, or NVIDIA AI technologies. • Examples of technical work such as academic projects, demonstrations, presentations, documentation, GitHub repositories, blogs, or research

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