Hewlett Packard Enterprise is a global edge-to-cloud technology company seeking a recent university graduate to join its AI and Analytics Solutions Engineering team. The role supports the design, development, testing, documentation, and deployment of AI and analytics solutions on HPE infrastructure, while building experience with generative AI, data platforms, containers, Kubernetes, GPUs, and hybrid cloud environments.
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
Qualification
Required
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
Preferred
Internship, cooperative education, academic research, capstone, or personal project experience involving AI, machine learning, analytics, cloud computing, or enterprise technology
