Establish trusted advisor relationships with senior and executive-level stakeholders.
Design detailed, well-documented hybrid cloud and AI-enabled solutions that address customer requirements and RFPs, in close collaboration with sales teams.
Lead workshops to gather business, technical, and data-related requirements across stakeholders.
Facilitate goal-aligned discussions and propose architectures aligned with HPE and partner portfolios.
Provide strategic guidance on hybrid cloud, AI, and data platform adoption, aligned with business objectives.
Define and communicate hybrid cloud and AI adoption roadmaps, including key milestones and dependencies.
Develop cost models, including AI workload cost estimation, and recommend strategies to optimize infrastructure and cloud spend.
Design end-to-end architectures integrating on-premises infrastructure, cloud platforms, and AI/ML services.
Support and lead implementation efforts, ensuring security, compliance, ethical AI principles, and best practices.
Oversee migration of applications, data, and AI workloads between on-premises and cloud environments.
Collaborate with data and application teams to enable AI-ready platforms, including data pipelines, model hosting, and inferencing capabilities.
Monitor and optimize hybrid cloud and AI platform performance, leveraging automation and AIOps where applicable.
Stay current on emerging trends in AI, machine learning, cloud-native platforms, and automation, and contribute to the technical community.

7+ years of experience as a Cloud Engineer, Cloud Architect, or Infrastructure Architect.
Strong background in hybrid cloud, IaaS, PaaS, DevOps, and CI/CD.
Solid market knowledge of IT consulting services related to cloud and AI transformation.
Hands-on experience with containers, Kubernetes, and microservices.
Knowledge of Linux and Windows operating systems.
Solid understanding of AI/ML architecture concepts, such as: Model training vs. inferencing, Data pipelines and feature stores, GPU/accelerator-based workloads.
Familiarity with MLOps principles, automation, and lifecycle management of Private Cloud solutions.
Understanding of IT infrastructure components (compute, storage, networking, virtualization) and their role in business workloads.
Proficiency in infrastructure and solution architecture methodologies.
Familiarity with ITIL / ITSM frameworks (preferred).
Experience in large-scale enterprise environments is a strong advantage.

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.
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Delivery Solution Architect – Hybrid Cloud, Infrastructure & AI Solutions

Key skills