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

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.

Job:

Job Level:

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.

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