Senior Engineer - NPAT Content Services AI Infra.

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.

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.

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 a n   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.

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