AI & Analytics Solutions Engineer
Hewlett Packard Enterprise Development LP
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Benefits offered by this job
Job summary
Hewlett Packard Enterprise Development LP is seeking an AI & Analytics Solutions Engineer in a hybrid role. You will join the AI & Analytics Solutions Engineering team to design, build, test, and document AI solutions running on HPE infrastructure.
Ideal candidates are recent graduates with a CS or Data Science degree who are curious, technically motivated, and eager to learn about generative AI, RAG, AI agents, containers, Kubernetes, GPUs, and hybrid clouds.
Qualifications
- Foundational programming experience with Python through university coursework, research, internships, or projects.
- Basic understanding of AI, ML, data analytics, or software-development concepts.
- Familiarity with Generative AI or LLMs, ML frameworks, data processing, APIs, databases, cloud, containers, Linux.
Responsibilities
- Design, develop, test, and validate AI analytics solutions on HPE infrastructure.
- Build experience with generative AI, RAG, AI agents, data pipelines, and analytics platforms.
- Deploy and test applications in containerized, virtualized, Kubernetes, GPU-enabled, and hybrid cloud environments.
- Translate solution requirements into testable configurations and use cases.
- Create and maintain clear technical documentation, architecture diagrams, deployment instructions, and demos.
Skills
Education
Tools
Job description
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
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.
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.
- 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.
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.
- 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.
- 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.
- 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.
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.
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.
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. #unitedstates #grads
- Health & Wellbeing
- Personal & Professional Development
- Unconditional Inclusion
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.
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.
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. HPE is an 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.
HPE is an E-Verify employer. E-Verify is an Internet‑based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees.
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Please ensure the resume you submit to us does not include any sensitive personal data.
Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.
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