Presales Solution Engineer - Edge AI

HP is hiring a Presales Solution Engineer – Edge AI to turn customer Edge AI opportunities into measurable business outcomes and production-ready solutions. The role leads customer discovery, solution architecture, POCs, productionization, and technical sales support across the customer lifecycle.

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 where AI inference, computer vision, intelligent edge workloads, advanced compute, and related technologies can improve customer operations or create new business capabilities
• Connect near-term opportunities with the customer's broader technology and AI strategy
• Design end-to-end Edge AI solutions incorporating the appropriate combination of:
• Develop solution architectures that account for performance, scalability, manageability, security, reliability, cost, and operational requirements
• Own the technical execution of customer POCs, pilots, and solution validations
• Define clear POC objectives, technical success criteria, business outcomes, architecture, timelines, responsibilities, and exit criteria before execution begins
• Configure, integrate, test, troubleshoot, and optimize Edge AI solutions in customer and lab environments
• Ensure POCs demonstrate more than technical feasibility by connecting technical results to measurable customer outcomes
• Serve as the technical owner for moving successful POCs into production deployments
• Develop a clear productionization plan covering architecture, infrastructure, security, integration, operational readiness, support, monitoring, deployment, and scaling requirements
• Identify technical and organizational barriers that could prevent a successful POC from reaching production and proactively develop mitigation plans
• Partner with HP Services, engineering, partners, ISVs, Enterprise Architecture, and customer teams to create a smooth transition from presales validation into implementation
• Maintain technical continuity throughout the lifecycle: Discover → Architect → Validate → POC → Production → Scale
• Serve as a subject matter expert within HP's Edge AI and Advanced Compute Practice
• Maintain deep knowledge of emerging Edge AI technologies, architectures, AI models, inference frameworks, accelerators, compute platforms, and industry use cases
• Build reusable architectures, technical patterns, reference designs, demos, POC frameworks, and deployment methodologies that accelerate future customer engagements
• Capture lessons learned from customer engagements and feed those insights back into 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 during 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
• Help differentiate HP by demonstrating how HP's Edge AI and Advanced Compute capabilities can solve real customer problems and deliver measurable outcomes

Requirements:

• 3 years of experience in technical presales, forward deployment engineering, solution engineering or architecture, AI infrastructure, advanced compute, or a related discipline; 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
• 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