Presales Solution Engineer – Edge AI

HP France

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

Posted 11/3/2026full-timeUnited StatesMid-LevelSenior💰 $119,160 - $175,760 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 complex business requirements into actionable technical architectures. Proficient in managing the technical execution of POCs and production deployments while collaborating with cross-functional teams to deliver measurable outcomes.

Highest-signal resume keywords

Edge AI Solution DesignAI Infrastructure DeploymentTechnical Presales ExperienceCustomer-Facing Presentation SkillsKubernetes and Container Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI InferenceComputer VisionAdvanced ComputeAccelerated ComputingTechnical ArchitectureTroubleshooting Complex SystemsProduction Reference ArchitecturesHybrid Cloud TechnologiesNVIDIA EcosystemLinux

Soft Skills

Communication SkillsCollaboration SkillsTechnical Storytelling

Tools & Technologies

GPUsCPUsNPUsContainersNetworkingStorageAPIsModern Application Architectures

Industry Keywords

Enterprise ArchitectureSecurityScalabilityManageabilityEdge AI-Intensive Industries

Tech Stack

Tools & technologies

CloudKubernetesLinux

About the role

Key responsibilities & impact

Partner with customers, account teams, Enterprise Architects, and business stakeholders to understand 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, advanced compute, and related technologies
Design end-to-end Edge AI solutions spanning compute platforms, CPUs, GPUs, NPUs, AI accelerators, inference, computer vision, data processing, containers, orchestration, management, observability, networking, security, device management, cloud, hybrid cloud, and ecosystem technologies
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 technical and organizational 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 within 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 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 to solve customer problems and deliver measurable outcomes

Requirements

What you’ll need

3 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
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 across retail, manufacturing, industrial, healthcare, public sector, or other Edge AI-intensive industries
Experience developing production reference architectures and repeatable solution patterns

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