Job Description

AI & Analytics Workload Specialist
This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.
Who We Are:
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.
:
In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what's next for you.
The HPE Worldwide Hybrid Cloud Acceleration Team is seeking a technically skilled and innovative Solutions Engineer to join our global AI and Analytics team. This intermediate-level role is ideal for individuals who want to build real-world AI solutions to address customer problems, contribute to enterprise-scale validation projects, and drive field enablement with impactful assets. You will work closely with Solution Product Managers, workload Subject Matter Experts, and field teams to deliver innovative AI/Analytics workload solutions that position HPE as a leader in data-driven transformation.
What you'll do:
Design & Validation

• Apply technical expertise to design and validate AI/Analytics workload solutions.
• Contribute technical assets such as demos, white papers, videos, blogs, labs, and internal enablement materials.
• Collaborate with stakeholders to define the scope and align solutions with business needs.
• Leverage internal infrastructure and AI-powered tools to accelerate development and validation.

Field Enablement & Asset Creation

• Create compelling enablement content for the field, partners, and customers.
• Support solution adoption through TekTalks, webinars, Slack forums, and internal events.
• Integrate assets with field tools and help measure asset utilization.
• Career Development
• Invest in technical and personal growth through internal training, certifications, mentorships, and participation in HPE's Technical Career Path (TCP).
• Contribute to team goals, mentor peers, and participate in a collaborative engineering environment.

What you need to bring:

• 2 - 4 years of hands-on experience in building or validating AI and Analytics solutions, with a focus on real-world enterprise use cases.
• Proven experience developing or deploying AI-powered applications such as:

• Retrieval-Augmented Generation (RAG) systems
• Conversational AI/chatbot solutions
• ML model pipelines for analytics or inference
• Strong proficiency in Python and familiarity with common AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI APIs).
• Hands-on experience with data manipulation, embedding/vector databases (e.g., FAISS, Chroma, Weaviate), and prompt engineering.
• Experience with virtualization platforms (e.g., VMware, KVM) and containers (e.g., Docker, Kubernetes) is a plus.
• Familiarity with deploying AI workloads in cloud environments (e.g., Azure, AWS, or GCP), particularly using GPU-accelerated instances, is a plus.
• Strong written and verbal communication skills, with the ability to explain complex technical ideas clearly.
• Bachelor's degree in computer science, Data Science, Engineering, or a related technical field.

Preferred Qualifications:

• Understanding of enterprise IT systems, storage, and hybrid cloud architecture.
• Prior experience building AI/ML solution reference architectures or benchmarks.
• Published technical content (e.g., blogs, demos, white papers).

Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX)
What We Can Offer You:
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.
Let's Stay Connected:
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Job: Engineering
Job Level: TCP_02
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. Please click here: .
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.