Hybrid AI & Analytics Engineer (Finance)

Hewlett Packard Enterprise Company in; Fort Collins (CO); Hybrid; USD 76,000 - 144,000; Full time

Job summary

Hewlett Packard Enterprise (HPE) is seeking a recent university graduate to join the AI & Analytics Solutions Engineering team in a hybrid role. You will design, build, test, and document AI/analytics solutions running on HPE infrastructure, gaining hands-on exposure to generative AI, RAG, AI agents, data platforms, containers, Kubernetes, GPUs, and hybrid clouds.

The ideal candidate has a strong technical foundation, willingness to learn, and the ability to document and demonstrate technical

Qualifications

• Foundational programming experience with Python gained through university coursework, internships, or projects.
• Basic understanding of AI, ML, data analytics, or software development concepts.
• Familiarity with Generative AI, ML frameworks, data processing, APIs, databases, cloud computing, containers, Kubernetes, Linux.

Responsibilities

• Assist with design, development, testing, and validation of AI and analytics solutions on HPE infrastructure.
• Build experience with generative AI, RAG, AI agents, data pipelines, vector databases, and analytics platforms.
• Support deployment and testing of applications in containerized, virtualized, Kubernetes, GPU-enabled, and hybrid cloud environments.
• Translate solution requirements into testable configurations and use cases with senior engineers.
• Develop scripts, notebooks, APIs, and basic automation using Python and related tools.
• Execute test plans, capture results, identify issues, and suggest improvements.
• Create and maintain technical documentation, architecture diagrams, deployment instructions, and demos.
• Contribute to solution playbooks, briefs, presentations, videos, blogs, and hands-on labs.
• Participate in technical reviews, enablement sessions, and collaborative development activities.
• Communicate progress, questions, challenges, and next steps clearly.
• Learn HPE technologies, products, and enterprise infrastructure practices.
• Incorporate feedback to improve quality of work and develop greater ownership over time.
• Support team priorities while growing independence.

Skills

Python

AI/ML basics

Data analytics

APIs & integration

Cloud computing

Containers/Kubernetes

Linux

Documentation

Education

Bachelor's or Master's degree in CS/AI/Software Eng/related field

Tools

Docker

Kubernetes

Git

Linux

Job description

Hewlett Packard Enterprise (HPE) is seeking a recent university graduate to join the AI & Analytics Solutions Engineering team in a hybrid role. You will design, build, test, and document AI/analytics solutions running on HPE infrastructure, gaining hands-on exposure to generative AI, RAG, AI agents, data platforms, containers, Kubernetes, GPUs, and hybrid clouds.

The ideal candidate has a strong technical foundation, willingness to learn, and the ability to document and demonstrate technical