AI-Automation Architect

Overview

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.

We are transforming the way the Server Business Unit executes in the Age of AI. Our customers demand greater agility, faster time-to-market, and differentiated value from their HPE product experiences. To do this, we are seeking an AI‑Automation Architect to play a key role in deploying AI and automation technologies to help our internal teams work smarter. This senior individual‑contributor role is responsible for identifying, shaping, and delivering automation and AI solutions across key operational process areas in the Business Unit.

The role partners directly with business leaders to understand pain points, evaluate workflow bottlenecks, and determine where advanced automation, machine learning, and intelligent orchestration can meaningfully improve speed, accuracy, and productivity. Acting as a trusted consultant, the architect translates business objectives into automation opportunities, builds clear value cases, and ensures that technology is applied in a way that frees employees to focus on higher‑value, creative, and strategic work.

This role provides technical leadership across the automation lifecycle, from solution design and architecture through deployment and scaling. The architect defines solution patterns, selects appropriate technologies, and produces technical designs that guide development teams. They collaborate closely with engineers to ensure solutions are implemented as intended, meeting performance, security, and governance standards. The position requires strong communication skills, a deep understanding of AI and automation platforms, and the ability to operate as both an advisor and a hands‑on technical problem‑solver.

• Assess business processes and identify opportunities where automation and AI can remove manual effort and improve productivity.
• Define technical architectures for automation and AI solutions, covering workflow orchestration, data needs, integrations, and model or rules‑based components.
• Advise stakeholders on feasibility, solution options, and expected impact; convert business requirements into clear technical designs.
• Work hands‑on with engineering teams to ensure solutions are built, tested, and deployed correctly, providing guidance during implementation.
• Evaluate emerging AI and automation technologies, run proofs‑of‑concept, and recommend adoption where they add value.
• Conduct design reviews to ensure consistency, quality, and adherence to architectural standards across projects.
• Mentor engineers and contribute to building reusable patterns, best practices, and long‑term automation strategies.
• Prepare concise technical documentation and executive‑level presentations that clearly explain solution design and business impact.

• Bachelor’s or master’s degree in computer science, engineering, data science, AI, or related quantitative field.
• Typically 10–15 years of experience in automation architecture, AI/ML engineering, or enterprise solution design.
• Strong understanding of applied AI concepts, including supervised/unsupervised learning, NLP, conversational AI, embeddings, vector search, and rules‑based automation.
• Hands‑on experience integrating ML models and AI services into production systems; familiarity with frameworks such as Tensor Flow, PyTorch, scikit‑learn, and modern LLM/agent tooling.
• P…