Edge AI Presales Architect - From POC to Production

HP

Chicago (IL)

On-site

USD 149,000 - 220,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Employee assistance program

Job summary

HP, Inc. seeks a Presales Solution Engineer – Edge AI to lead technical engagements across discovery, architecture, and productionization, turning customer opportunities into measurable business outcomes.

You will own POCs, define success criteria, and guide deployments from lab to production while collaborating with sales, engineering, and services teams. The role emphasizes staying at the forefront of Edge AI, computer vision, and advanced compute architectures, delivering scalable, secure,

Qualifications

  • 3+ years in technical presales, forward deployment engineering, or architecture related to AI/edge compute.
  • Experience designing and deploying AI/edge/accelerated computing solutions.
  • Hands-on knowledge of GPUs, CPUs, NPUs, containers, networking, storage, and hybrid-cloud tech.

Responsibilities

  • Partner with customers and stakeholders to translate requirements into Edge AI architectures and strategies.
  • Design end-to-end Edge AI solutions balancing performance, security, and cost.
  • Lead POC/pilot deployments with clear objectives, success criteria, and exit criteria.
  • Own productionization plans from POC to deployment, addressing architecture, security, and ops readiness.
  • Maintain technical leadership in HP's Edge AI practice and enable repeatable patterns.
  • Support sales with architecture sessions, demos, proposals, and technical content.

Skills

Presales experience
AI infrastructure
Edge AI / computer vision
Troubleshooting & problem solving
Customer-facing communication

Tools

GPUs/CPUs/NPUs
Containers & orchestration
Networking & security
Kubernetes

Job description

HP, Inc. seeks a Presales Solution Engineer – Edge AI to lead technical engagements across discovery, architecture, and productionization, turning customer opportunities into measurable business outcomes.

You will own POCs, define success criteria, and guide deployments from lab to production while collaborating with sales, engineering, and services teams. The role emphasizes staying at the forefront of Edge AI, computer vision, and advanced compute architectures, delivering scalable, secure,

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