Presales Solution Engineer – Edge AI

. Partner with customers, account teams, Enterprise Architects, and business stakeholders to understand challenges, requirements, workloads, infrastructure, data environments, and desired outcomes .

Posted 10/22/2026full-timeUnited StatesMid-LevelSenior💰 $154,040 - $227,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying Edge AI and Advanced Compute solutions, translating customer requirements into technical architectures while ensuring performance, scalability, and security. Proven ability to lead technical execution of POCs and production deployments, collaborating effectively with cross-functional teams to achieve measurable outcomes.

Highest-signal resume keywords

Edge AI Solution DesignAI Infrastructure DeploymentTechnical Presales ExperienceCustomer-Facing Presentation SkillsCollaboration Across Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI InferenceComputer VisionAdvanced ComputeAccelerated ComputingKubernetesContainersLinuxAPIsNVIDIA EcosystemHybrid-Cloud Technologies

Soft Skills

Technical StorytellingCommunicationCollaboration

Tools & Technologies

GPUsCPUsNPUsNetworkingStorage

Industry Keywords

Enterprise ArchitectureProduction Operational RequirementsEdge AI-Intensive IndustriesRetailHealthcare

Tech Stack

Tools & technologies

CloudKubernetesLinux

About the role

Key responsibilities & impact

Partner with customers, account teams, Enterprise Architects, and business stakeholders to understand challenges, requirements, workloads, infrastructure, data environments, and desired outcomes
Translate customer requirements into Edge AI and Advanced Compute architectures and implementation strategies
Identify opportunities involving AI inference, computer vision, intelligent edge workloads, advanced compute, and related technologies
Design end-to-end Edge AI solutions spanning compute platforms, accelerators, inference, computer vision, data processing, containers, orchestration, management, networking, security, cloud, and ecosystem technologies
Develop architectures addressing performance, scalability, manageability, security, reliability, cost, and operational requirements
Own technical execution of customer POCs, pilots, and solution validations
Define POC objectives, success criteria, business outcomes, architecture, timelines, responsibilities, and exit criteria
Configure, integrate, test, troubleshoot, and optimize Edge AI solutions in customer and lab environments
Move successful POCs into production deployments and develop productionization plans
Identify and mitigate barriers to production
Partner with HP Services, engineering, partners, ISVs, Enterprise Architecture, and customer teams through implementation
Maintain technical continuity from discovery through architecture, validation, POC, production, and scale
Serve as a subject matter expert in HP's Edge AI and Advanced Compute Practice
Build reusable architectures, technical patterns, reference designs, demos, POC frameworks, and deployment methodologies
Capture engagement lessons and provide insights to HP product, engineering, services, and practice development teams
Support sales and technical account teams in identifying, qualifying, and advancing Edge AI opportunities
Lead customer workshops, architecture sessions, executive briefings, demonstrations, RFP responses, and solution presentations
Develop bills of materials, architecture documentation, technical proposals, deployment assumptions, and technical content
Demonstrate HP's Edge AI and Advanced Compute capabilities and measurable customer outcomes

Requirements

What you’ll need

3–5 years of experience in technical presales, forward deployment engineering, solution engineering or architecture, AI infrastructure, advanced compute, or a related discipline
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
Experience with AI inference and Edge AI frameworks preferred
Experience with NVIDIA and other accelerated-compute ecosystems preferred
Knowledge of computer vision, video analytics, generative AI, and AI inference workloads preferred
Experience with Kubernetes, containers, Linux, APIs, and modern application architectures preferred
Experience working with ISVs and technology ecosystem partners preferred
Experience supporting enterprise customers across retail, manufacturing, industrial, healthcare, public sector, or other Edge AI-intensive industries preferred
Experience developing production reference architectures and repeatable solution patterns preferred
Ability to travel 50%

Benefits

Comp & perks

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
4-12 weeks fully paid parental leave based on tenure
13 paid holidays
Additional flexible paid vacation and sick leave
Bonuses and/or equity opportunities for United States of America candidates only