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Delivery Solution Architect – Hybrid Cloud, Infrastructure, AI Solutions
Hewlett Packard Enterprise. Establish trusted advisor relationships with senior and executive-level stakeholders .
Tech Stack
Tools & technologiesCloudITSMKubernetesLinuxMicroservices
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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
- 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.
Benefits
Comp & perks- Health & Wellbeing
- Personal & Professional Development
- Unconditional Inclusion
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
hybrid cloudAIIaaSPaaSDevOpsCI/CDcontainersKubernetesmicroservicesAI/ML architecture
Soft Skills
trusted advisorstrategic guidancecollaborationgoal-aligned discussionsleadershipcommunication