Lead Delivery Solution Architect

Job not on LinkedIn

🕒 February 17

🤠 Texas – Remote

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💵 $119.5k - $275k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 35%

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Logo of Hewlett Packard Enterprise

Hewlett Packard Enterprise

10,000+ employees

🏢 Enterprise

🔧 Hardware

🤖 Artificial Intelligence

💰 $1.5G Post-IPO Equity - Hewlett Packard Enterprise on 2025-04

Enterprise • Hardware • Artificial Intelligence

Hewlett Packard Enterprise is an enterprise-focused technology company that delivers infrastructure, software, and services to help organizations build, manage, and secure hybrid cloud and AI-enabled environments. The company’s offerings — reflected in the provided text — include servers and high-performance computing (HPE ProLiant, HPE Cray), enterprise storage (HPE Alletra), networking products and services (HPE Aruba, Juniper partnership), AI platforms and turnkey AI factories, hybrid cloud and as-a-service offerings (GreenLake), security and networking (Zero Trust, SASE), and a broad portfolio of professional, advisory, and support services. HPE positions itself as a partner for large organizations modernizing data centers, deploying AI at scale, and adopting hybrid cloud operations.

📋 Description

• Senior technical leader responsible for shaping and delivering complex, high-value solutions • Supporting solutioning activities during the early stages of the sales cycle • Acting as the technical design authority and trusted advisor to customers • Ensuring that proposed solutions are technically sound and feasible for delivery • Leading the technical execution of large, multi-domain programs • Ensuring architectural integrity, stakeholder alignment, and successful delivery outcomes • Driving quality, governance and continuous improvement across delivery teams • Collaborating with pursuit managers, program managers, managed services and cross-functional teams to ensure seamless transition from design to run

🎯 Requirements

• Expertise with the Nvidia AI solutions • Expertise with Machine Learning and deep learning • Data Science knowledge and experience • Big data and cloud computing • Experience with large-scale AI Solution deployments • Preferred experience with HPE HPC products and solutions • Experience with planning and implementation AI solutions for customers • Strong communication and consulting skills • Bridge gap between business requirements and technical capabilities • Strong system integration skills

🏖️ Benefits

• Health & Wellbeing • Personal & Professional Development • Unconditional Inclusion

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