AI workflow Designer

AI workflow Designer This role has been designed as ‘Hybrid’ with an expectation 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.

Job Family Definition: The AI Workflow Designer leads the design and standardization of enterprise-grade AI-driven workflows, enabling scalable, reusable, and intelligent business process transformation. This role drives the development of multi-agent ecosystems, establishes design frameworks, and accelerates the adoption of AI across the organization through platformisation and capability building. Contributes to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, systems improvement projects and drive workflow changes. Management Level Definition: Contributions have visible business impact on a product or major subcomponent.  Applies in-depth professional knowledge and innovative ideas to solve complex problems. Visible contributions improve time-to-market, achieve cost reductions, or satisfy current and future unmet customer needs. Recognized internal authority on key technology area applying innovative principles and ideas. Provides technical leadership for significant project/program work. Leads or participates in cross-functional initiatives and contributes to mentorship and knowledge sharing across the organization.

Define Enterprise AI Workflow Standards Establish and govern enterprise-wide standards, design principles, and best practices for AI-enabled workflows to ensure consistency, scalability, and alignment with organizational goals. Design Scalable Multi-Agent Ecosystems Architect and implement intelligent, multi-agent workflow ecosystems that enable autonomous decision-making, orchestration, and coordination across complex business processes. Establish Workflow Design Playbooks and Frameworks Develop reusable playbooks, frameworks, and reference architectures that guide teams in designing, developing, and deploying AI-driven workflows efficiently. Drive Platformisation and Reuse Across CoE Promote modular design, asset reuse, and platform-based development approaches to accelerate delivery, reduce duplication, and maximize value across the AI CoE and broader enterprise. Lead Innovation in Agentic Workflows Explore and implement emerging technologies and approaches in agentic AI, continuously advancing the organization's capabilities in intelligent automation and adaptive workflows. Mentor and Build Capability Across Teams Coach and enable cross-functional teams on AI workflow design, fostering a culture of learning, collaboration, and innovation within the organization.

Required: Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline. Strong exposure in high tech supply chain Typically, 10-15 years’ experience. Knowledge and Skills: Strong Supply chain experience. Process mapping, Transformation projects execution Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling.