Senior Engineer - NPAT Content Services AI Infra.

Hewlett Packard Enterprise Development LP; San Juan, Northern (PR, KY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Professional development

Inclusion and belonging

Job summary

Hewlett Packard Enterprise is seeking an AI Infra Engineer to design, build, and operate infrastructure that integrates LLMs into internal tools and customer-facing products. You will evaluate third-party tooling, build homegrown pipelines, and own reliability, monitoring, and cost control for AI-powered systems.

The role sits within HPE Networking's Training and Documentation organization and requires a pragmatic, buy-vs-build mindset with strong cloud, container, and scripting skills.

Qualifications

• 5+ years of software engineering, infrastructure, platform, or DevOps/SRE roles.
• Strong scripting/programming ability — Python, Java, etc.
• Experience with cloud infrastructure (AWS, GCP, or Azure) and infra-as-code practices.
• Hands-on experience with containers and container tooling.
• Comfortable operating in Linux and Windows server environments.

Responsibilities

• Design, build, and operate infrastructure that integrates LLMs into internal tools and customer-facing products.
• Evaluate, implement, and maintain third-party AI tooling and platforms, owning vendor relationships and integrations.
• Build homegrown tooling (pipelines, orchestration layers, retrieval systems, evaluation harnesses, monitoring).
• Own the operational reliability of AI-powered systems: uptime, latency, cost, observability.
• Set up monitoring, logging, and telemetry to understand AI system performance in production.
• Collaborate with documentation and training stakeholders to translate use cases into working systems.

Skills

Python

Java

LLM APIs

Cloud infra

Containers

Linux

Windows

Tools

Docker

Kubernetes

Job description

Senior Engineer - NPAT Content Services AI Infra.

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week 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.

Job Description:

This role sits within HPE Networking's Training and Documentation organization, which is responsible for the technical content, learning materials, and documentation that support HPE Networking's products and customers. As AI tooling becomes central to how we produce, maintain, and deliver that content, we're building out the infrastructure to support it — and this role is central to that effort. We're looking for an AI Infra Engineer to help us build and operate the infrastructure that lets our team actually use AI to solve real business problems specific to technical training and documentation — things like content generation assistance, documentation search and retrieval, automated content QA, Avatar-led training, and much more. This is not a research role — we're not training foundation models or running open-ended ML experiments. Instead, you'll be ideating, integrating, and productionizing existing LLMs (via vendor APIs and/or self-hosted tooling) into reliable, scalable systems that support concrete use cases across the organization. You'll work at the intersection of infrastructure engineering and applied AI: standing up and maintaining the pipelines, services, and tooling — whether bought from a vendor or built in-house — that make AI features work reliably in production, in service of how HPE Networking creates and maintains training and documentation content.

Job: Engineering Job Level: TCP_04

What You'll Do

• Design, build, and operate infrastructure that integrates LLMs into internal tools and customer-facing products
• Evaluate, implement, and maintain third-party AI tooling and platforms, owning the vendor relationship and integration where applicable
• Build homegrown tooling (pipelines, orchestration layers, retrieval systems, evaluation harnesses, monitoring) when off-the-shelf solutions don't fit
• Own the operational reliability of AI-powered systems: uptime, latency, cost, and observability
• Implement guardrails around cost, rate limits, prompt/version management, and failure handling for LLM-backed services
• Collaborate with documentation and training stakeholders to translate use cases into working, maintainable systems
• Set up monitoring, logging, and telemetry to understand how AI systems are performing in production
• Contribute to internal standards and best practices for how the org evolves and adopts AI tooling
• Act as an AI evangelist within the org — sharing knowledge, demonstrating new capabilities, and helping teammates understand how and where AI tooling can be applied to their work

What We're Looking For

• 5+ years of experience in software engineering, infrastructure, platform, or DevOps/SRE roles
• Strong scripting/programming ability — Python, Java, etc.
• Experience working with one or more of the following: prompt management, retrieval-augmented generation, agentic tooling, skills, MCP, etc.
• Practical experience integrating third-party APIs into production systems (LLM APIs a strong plus)
• Experience with cloud infrastructure (AWS, GCP, or Azure) and standard infra-as-code practices
• Hands-on experience with containers and container tooling
• Comfortable operating in both Linux and Windows server environments
• Experience standing up and maintaining web services (APIs, web apps, backend services)
• Solid understanding of building reliable, observable, and cost-conscious backend systems
• Comfort working with both vendor-provided tools and building custom solutions when needed — you're pragmatic about buy vs. build
• A bias toward iteration over perfection — getting usable solutions in front of users quickly, and enhancing them incrementally over time

What This Role Is Not

• Not a research scientist or ML research role — no model training, fine-tuning research, or novel architecture work
• Not focused on academic experimentation — the focus is on applying existing, available AI capabilities to real use cases
• Not a pure data science role

Nice to Have

• Experience with LLM observability/eval tooling (e.g., tracing, evals, prompt versioning systems)
• Experience running self-hosted models or inference infrastructure
• Background in automation, telemetry, or network/systems infrastructure work

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: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

We Are In the Acceleration Business

We help customers use technology to slash the time it takes to turn ideas into value. In turn, they transform industries, markets and lives. Some of our customers run traditional IT environments. Most are transitioning to a secure, cloud-enabled, mobile-friendly infrastructure. Many rely on a combination of both. Wherever they are in that journey, we provide the technology and solutions to help them succeed.

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Accessibility

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. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

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