AI workflow Designer

Job description

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. 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: 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. Responsibilities: 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. Education and Experience 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. Proficient in implementing and deploying various AI project and drive the process change (AI first process design / solution design) Solid understanding of all AI concepts & new technologies like Frontier, co work, Agents etc.. Be skilled in preparing and cleaning data for machine learning tasks, which include data wrangling, feature extraction, dimensionality reduction, handling missing values, and addressing data quality issues. Proficiency in data visualization tools and techniques to analyze and present insights gained from AI and machine learning models. Create meaningful visualizations and effectively communicate complex concepts to technical and non-technical stakeholders. Familiarity with end to end Model life cycle management. This helps ensure the robustness, scalability, and maintainability of AI systems. Stay up to date with the latest advancements in the field, follow research papers, attend conferences, and contribute to the AI community. A passion for continuous learning and a drive for innovation are essential traits. Experience in leading research initiatives, publishing research papers, or contributing to open-source projects in AI. Experience in guiding and mentoring other engineers. Ability to effectively communicate product architectures, design proposals and negotiate options at senior management levels. Strong communication skills are necessary to collaborate with cross-functional teams effectively, explain complex AI concepts to non-technical stakeholders, and provide technical leadership and mentorship to junior engineers. #LI-Hybrid Additional Skills: Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset 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. #singapore #operations Job: Engineering Job Level: TCP_05 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity . Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. Recruitment Fraud Alert We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.