AI & Analytics Solutions Engineer

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.

What you'll do:

• 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

What they're looking for:

• 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

Benefits:

• A comprehensive suite of benefits supporting team members' and their loved ones' physical, financial and emotional wellbeing.
• Specific career-development programs to help employees reach their career goals, become knowledge experts, or apply their skills to another division.
• Hybrid work arrangement with a requirement to work on average 2 days per week from an HPE office.