Presales Solution Engineer - Edge AI

HP • All Cities, CO

1d

About The Position

The Presales Solution Engineer – Edge AI is a customer-facing technical leader responsible for turning Edge AI opportunities into measurable business outcomes and production-ready solutions. The role spans the customer journey from discovery and solution architecture through proof of concept (POC), validation, deployment, and production scale. It serves as a technical bridge between customer requirements, HP’s Edge AI capabilities, Advanced Compute platforms, partners, and delivery organizations. Success is measured by moving customers from concept to production and delivering business value—not simply by demonstrations or successful POCs.

The engineer partners with customers, account teams, Enterprise Architects, and business stakeholders to understand business challenges, technical requirements, workloads, infrastructure, data environments, and desired outcomes. They design end-to-end Edge AI solutions; lead customer POCs and pilots; and own the technical transition of successful POCs into production. This includes defining success criteria and outcomes, configuring and optimizing solutions, planning for production readiness and scale, and addressing technical or organizational deployment barriers.

As a subject matter expert in HP’s Edge AI and Advanced Compute Practice, the engineer maintains knowledge of emerging technologies and use cases, develops reusable architectures and deployment methods, and shares customer-engagement insights with HP teams. They also support sales and business development through opportunity qualification, workshops, executive briefings, demonstrations, RFP responses, technical proposals, solution documentation, and bills of materials.

Requirements

• At least 3 years of experience in technical presales, forward deployment engineering, solution engineering or architecture, AI infrastructure, advanced compute, or a related discipline, with strong experience in one or more of these areas.
• Experience designing and deploying AI, Edge AI, computer vision, advanced compute, or accelerated computing solutions.
• Hands-on knowledge of modern AI infrastructure, including GPUs, CPUs, NPUs, accelerators, containers, networking, storage, and hybrid-cloud technologies.
• Experience taking technical solutions from POC or pilot into production environments.
• Ability to troubleshoot complex hardware, software, networking, application, and integration challenges.
• Strong understanding of enterprise architecture, security, scalability, manageability, and production operational requirements.
• Ability to translate business requirements into technical architectures and technical capabilities into business outcomes.
• Strong customer-facing presentation, communication, and technical storytelling skills.
• Ability to collaborate across sales, engineering, product management, services, partners, and customer organizations.

Nice To Haves

• Experience with AI inference and Edge AI frameworks.
• Experience with NVIDIA and other accelerated-compute ecosystems.
• Knowledge of computer vision, video analytics, generative AI, and AI inference workloads.
• Experience with Kubernetes, containers, Linux, APIs, and modern application architectures.
• Experience working with ISVs and technology ecosystem partners.
• Experience supporting enterprise customers in retail, manufacturing, industrial, healthcare, public sector, or other Edge AI-intensive industries.
• Experience developing production reference architectures and repeatable solution patterns.

Responsibilities

• Partner with customers, account teams, Enterprise Architects, and business stakeholders to identify business challenges, technical requirements, workloads, infrastructure, data environments, and desired outcomes.
• Translate customer requirements into actionable Edge AI and Advanced Compute architectures and implementation strategies.
• Identify opportunities for AI inference, computer vision, intelligent edge workloads, and advanced compute to improve operations or create new business capabilities.
• Design end-to-end Edge AI solutions, accounting for performance, scalability, manageability, security, reliability, cost, and operational requirements.
• Lead technical execution of customer POCs, pilots, and solution validations; define objectives, success criteria, outcomes, architecture, timelines, responsibilities, and exit criteria.
• Configure, integrate, test, troubleshoot, and optimize Edge AI solutions in customer and lab environments.
• Connect POC technical results to measurable customer outcomes.
• Own the technical transition of successful POCs into production deployments, including productionization plans for architecture, infrastructure, security, integration, operational readiness, support, monitoring, deployment, and scale.
• Identify barriers to production and develop mitigation plans; coordinate transition with HP Services, engineering, partners, ISVs, Enterprise Architecture, and customer teams.
• Maintain technical continuity from discovery and architecture through validation, POC, production, and scale.
• Serve as a subject matter expert within HP’s Edge AI and Advanced Compute Practice and maintain knowledge of emerging technologies, architectures, models, frameworks, accelerators, platforms, and use cases.
• Develop reusable architectures, technical patterns, reference designs, demonstrations, POC frameworks, and deployment methodologies.
• Capture lessons learned and share insights with HP product, engineering, services, and practice development teams.
• Partner with sales and technical account teams to identify, qualify, and advance Edge AI opportunities.
• Provide technical leadership in customer workshops, architecture sessions, executive briefings, demonstrations, RFP responses, and solution presentations.
• Develop solution bills of materials, architecture documentation, technical proposals, deployment assumptions, and supporting technical content.
• Demonstrate how HP Edge AI and Advanced Compute capabilities solve customer problems and deliver measurable outcomes.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long-term and short-term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Four to twelve weeks of fully paid parental leave based on tenure
• Thirteen paid holidays
• Additional flexible paid vacation and sick leave
• Additional opportunities for bonuses and/or equity for candidates in the United States

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed