Senior AI & Data Engineer

Senior AI & Data Engineer This role has been designed as ‘’Onsite’ with an expectation that you will primarily work 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.

HPE Financial services  is where we help organizations create the investment they need for digital transformation, in an innovative and sustainable way. We partner with customers across their entire IT asset portfolio from edge to cloud to end-user. Unique to each client’s aspirations and size, our financial and asset management solutions are anchored by best-in-class tech upcycling services.  Join us redefine what’s next for you.

Summary The Senior AI & Data Engineer is an individual contributor role that acts as the technical subject matter expert at the intersection of AI engineering and data engineering. This is a uniquely dual-domain role: the successful candidate bridges the organization’s data strategy with its AI agenda, ensuring that intelligent systems are built on a foundation of governed, high-quality, well-architected data. On the AI side, this role designs and delivers end-to-end production-grade AI products — architecting multi-agent frameworks, fine-tuning and evaluating LLMs, building robust ML pipelines, and ensuring AI solutions are scalable, explainable, and responsibly governed. On the data side, this role defines the data architecture, transformation standards, and quality frameworks that make those AI products possible — owning the data platform across Databricks, Microsoft Fabric, and Collibra. Beyond individual delivery, this role provides technical leadership across cross-functional initiatives, defines engineering standards for both AI and data engineering practice, and leads the Applied AI Engineer and AI Data Engineer. The ideal candidate brings deep expertise across the full stack: from classical machine learning and modern generative AI through to data architecture, governance, and pipeline engineering — with the communication skills to translate that expertise into measurable business impact.

Technical Leadership & Subject Matter Expertise Serve as the dual AI & data SME for the team and organization — the escalation point for complex technical decisions spanning model design, data architecture, pipeline engineering, and deployment. Define and uphold engineering standards, design patterns, and best practices across both AI and data engineering disciplines; conduct architecture reviews and provide technical sign-off on all major deliverables. Lead technical discovery for new AI and data use cases: evaluate feasibility, recommend solution approaches, and produce architecture documents for stakeholder alignment. Participate in and lead cross-functional initiatives where AI and data strategy intersect — partnering with product, business, and platform teams to translate strategy into shipped solutions. Mentor and upskill the Applied AI Engineer and AI Data Engineer through pair programming, code reviews, design sessions, and structured knowledge transfer. Advanced LLM Engineering & Agentic AI Architect and deliver complex agentic AI systems — multi-agent pipelines, tool-use frameworks, autonomous task orchestration  Design and implement advanced RAG architectures including hybrid search,