Solutions Architect – Cloud, AI & Automation (Onsite)

Hewlett Packard Enterprise

Spring (TX)

On-site

USD 127,000 - 291,000

Full time

39 hours ago
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Job summary

Hewlett Packard Enterprise is seeking a Technical Architect – Sales and Solutions Engineering to join our onsite team in Texas. You will act as a technical advisor during customer engagements, translate business needs into technical solutions, and deliver hands-on workshops and architecture reviews with engineering teams.

The role requires deep expertise across Cloud, Automation, Containers, AI, Storage and Networking, with strong communication to engage with field teams and senior management

Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
  • Typically 6-10 years experience.

Responsibilities

  • Act as a technical advisor during customer engagements, workshops, solution reviews, and architecture discussions.
  • Gather customer requirements and translate business needs into technical solutions.
  • Build the technical solution in collaboration with engineers within team and organisation
  • Deliver technical presentations, demonstrations, and hands-on workshops for customers and partners.
  • Provide advanced technical support during solution deployment, integration, and post-production phases.
  • Troubleshoot complex customer issues and drive root-cause analysis to resolution.
  • Collaborate with sales, presales, product teams, and customer stakeholders to ensure successful solution adoption and customer satisfaction

Skills

Software engineering
System integration
Mentoring
English communication

Education

Bachelor's or Master's degree in Computer Science or related

Tools

HPE Compute
HPE Storage
Cloud Management Platforms

Job description

Hewlett Packard Enterprise is seeking a Technical Architect – Sales and Solutions Engineering to join our onsite team in Texas. You will act as a technical advisor during customer engagements, translate business needs into technical solutions, and deliver hands-on workshops and architecture reviews with engineering teams.

The role requires deep expertise across Cloud, Automation, Containers, AI, Storage and Networking, with strong communication to engage with field teams and senior management

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