AI & Analytics Solutions Engineer

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.

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 papers.
• Interest in developing technical presentation, demonstration, and customer-facing communication skills.

What You Will Learn

In this role, you will have the opportunity to:

• Develop practical experience building AI and analytics solutions on enterprise infrastructure.
• Learn how software, servers, storage, networking, virtualization, containers, and GPUs work together within a complete solution.
• Work directly with experienced engineers, architects, product managers, and technology partners.
• Develop structured solution-testing and evidence-based validation skills.
• Learn how to convert technical work into reusable guidance and enablement materials.
• Build technical communication, presentation, and demonstration experience.
• Progress from contributing to guided assignments toward independently managing defined technical solution projects.

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.

#unitedstates

#grads

Job:

Engineering

Job Level:

TCP_01

    

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 75,700 - 143,900 in Colorado
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is November 16 2026; this timeline is provided for transparency and internal planning purposes.

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

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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.