Delivery Solution Architect – Hybrid Cloud, Infrastructure & AI Solutions
Hewlett Packard Enterprise
- Location
- Stockholm, Sweden
- Work model
- Hybrid
- Level
- Senior
- H-1B history
- 167 approvals (FY2023)
- Posted
- 10h ago
Skills
About this role
Delivery Solution Architect – Hybrid Cloud, Infrastructure & AI Solutions This role has been designed as 'Hybrid' with a requirement 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
About HPE Professional Services HPE Professional Services is HPE’s innovative IT services organization, helping customers accelerate outcomes from their digital transformation initiatives. We combine industry-leading technology with deep expertise to design, integrate, and deliver modern hybrid cloud and AI-enabled solutions that drive measurable business value and superior customer experiences.
The Role
As a Solution Architect , you will serve as a trusted advisor and technical leader, designing end-to-end hybrid cloud and AI-enabled architectures for enterprise customers. You will work closely with customers, sales teams, and delivery organizations to align business goals with scalable, secure, and intelligent IT solutions. This role is ideal for a senior architect who is passionate about Private cloud and AI technologies, thrives in complex customer environments, and enjoys shaping future-ready digital platforms. Candidates m ust be willing and eligible to undergo appropriate Swedish security clearance successfully.
Key Responsibilities
In this role, you will: 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. Required Technical Experience You bring strong depth across infrastructure, cloud, and emerging AI technologies: 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