Presales Solution Engineer - Edge AI

HP • All Cities, CA

23h

About The Position

The Presales Solution Engineer – Edge AI is a customer-facing technical leader who turns Edge AI opportunities into measurable business outcomes and production-ready solutions. The role spans customer discovery, solution architecture, proof of concept (POC), validation, deployment, and production scale, bridging customer requirements with HP’s Edge AI capabilities, Advanced Compute platforms, partners, and delivery organizations. Success is measured by moving customers from concept to production and delivering measurable business value.

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 translate these needs into Edge AI and Advanced Compute architectures and implementation strategies, identifying opportunities involving AI inference, computer vision, intelligent edge workloads, and related technologies.

The role designs end-to-end solutions incorporating compute platforms, CPUs, GPUs, NPUs and AI accelerators; AI inference and model deployment; data processing; containers and orchestration; edge management and observability; networking, security, device management; cloud and hybrid-cloud integration; and ISV and ecosystem technologies. Architectures must address performance, scalability, manageability, security, reliability, cost, and operational requirements.

The engineer leads customer POCs, pilots, and validations, defining objectives, technical success criteria, business outcomes, architecture, timelines, responsibilities, and exit criteria. They configure, integrate, test, troubleshoot, and optimize solutions in customer and lab environments, connecting technical results to measurable customer outcomes. They also own the technical transition of successful POCs into production, developing plans for architecture, infrastructure, security, integration, operational readiness, support, monitoring, deployment, and scaling. They identify and mitigate barriers to production and collaborate with HP Services, engineering, partners, ISVs, Enterprise Architecture, and customer teams throughout the lifecycle.

As a subject matter expert in HP’s Edge AI and Advanced Compute Practice, the engineer maintains knowledge of emerging technologies, architectures, AI models, inference frameworks, accelerators, compute platforms, and industry use cases. They develop reusable architectures, technical patterns, reference designs, demonstrations, POC frameworks, and deployment methodologies, and share engagement learnings with HP product, engineering, services, and practice teams.

The engineer supports sales and business development by identifying, qualifying, and advancing opportunities; leading customer workshops, architecture sessions, executive briefings, demonstrations, RFP responses, and presentations; and preparing bills of materials, architecture documentation, technical proposals, deployment assumptions, and other technical content. The role requires staying technically engaged beyond demonstrations and POCs until solutions operate successfully in production.

The role is listed as full-time, with 50% travel. The stated US on-target earnings range is $192,550 to $284,000 annually, with an 80% salary and 20% incentive mix. Additional bonus and/or equity opportunities apply to candidates in the United States. Compensation varies by work location, job-related knowledge, skills, and experience.

Requirements

• 3–5 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 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 to improve customer operations or create new capabilities.
• Design end-to-end Edge AI solutions and develop architectures addressing performance, scalability, manageability, security, reliability, cost, and operational requirements.
• Lead technical execution of customer POCs, pilots, and solution validations; define 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.
• Connect POC technical results to measurable customer outcomes.
• Own the technical transition of successful POCs into production deployments and develop productionization plans covering architecture, infrastructure, security, integration, operational readiness, support, monitoring, deployment, and scaling.
• Identify barriers to production and develop mitigation plans.
• Partner with HP Services, engineering, partners, ISVs, Enterprise Architecture, and customer teams to transition presales validation into implementation.
• Maintain technical continuity across discovery, architecture, validation, POC, production, and scale.
• Serve as a subject matter expert within HP’s Edge AI and Advanced Compute Practice and maintain knowledge of relevant emerging technologies and use cases.
• Build reusable architectures, technical patterns, reference designs, demonstrations, POC frameworks, and deployment methodologies.
• Capture customer engagement lessons and share them 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’s 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
• 13 paid holidays
• Additional flexible paid vacation and sick leave

What This Job Offers

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